{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T18:51:12Z","timestamp":1770490272927,"version":"3.49.0"},"reference-count":230,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Healthc Inform Res"],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1007\/s41666-020-00087-z","type":"journal-article","created":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T16:02:58Z","timestamp":1612195378000},"page":"270-299","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Scoping Review of Healthcare Literature on Mobile, Wearable, and Textile Sensing Technology for Continuous Monitoring"],"prefix":"10.1007","volume":"5","author":[{"given":"N.","family":"Hernandez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L.","family":"Castro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J.","family":"Medina-Quero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J.","family":"Favela","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L.","family":"Michan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"W. Ben.","family":"Mortenson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,1]]},"reference":[{"key":"87_CR1","doi-asserted-by":"publisher","unstructured":"Dawood FS et al (2012) Estimated global mortality associated with the first 12 months of 2009 pandemic influenza A H1N1 virus circulation: A modelling study. Lancet Infect Dis. https:\/\/doi.org\/10.1016\/S1473-3099(12)70121-4","DOI":"10.1016\/S1473-3099(12)70121-4"},{"key":"87_CR2","doi-asserted-by":"publisher","unstructured":"Den Boon S et al (2019) Ebola virus infection associated with transmission from survivors. Emerg Infect Dis. https:\/\/doi.org\/10.3201\/eid2502.181011","DOI":"10.3201\/eid2502.181011"},{"key":"87_CR3","doi-asserted-by":"publisher","unstructured":"Gasta\u00f1aduy PA et al (2018) Public health responses during measles outbreaks in elimination settings: Strategies and challenges. Human Vacc Immunotherapeutics. https:\/\/doi.org\/10.1080\/21645515.2018.1474310","DOI":"10.1080\/21645515.2018.1474310"},{"key":"87_CR4","doi-asserted-by":"publisher","unstructured":"Ganeshkumar P et al (2018) Dengue infection in India: A systematic review and meta-analysis. PLoS Negl Trop Dis. https:\/\/doi.org\/10.1371\/journal.pntd.0006618","DOI":"10.1371\/journal.pntd.0006618"},{"key":"87_CR5","doi-asserted-by":"publisher","unstructured":"Lane ND, Miluzzo E, Lu H, Peebles D, Choudhury T, Campbell AT (2010) A survey of mobile phone sensing. IEEE Commun. Mag. https:\/\/doi.org\/10.1109\/MCOM.2010.5560598","DOI":"10.1109\/MCOM.2010.5560598"},{"key":"87_CR6","doi-asserted-by":"publisher","unstructured":"Rawassizadeh R, Price BA, Petre M (2015) Wearables: Has the age of smartwatches finally arrived? Commun ACM. https:\/\/doi.org\/10.1145\/2629633","DOI":"10.1145\/2629633"},{"key":"87_CR7","doi-asserted-by":"publisher","unstructured":"Hildebrandt J, Brauner P, Ziefle M (2015) Smart textiles as intuitive and ubiquitous user interfaces for smart homes. In: Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics). https:\/\/doi.org\/10.1007\/978-3-319-20913-539","DOI":"10.1007\/978-3-319-20913-539"},{"key":"87_CR8","unstructured":"University of Cambridge (2011) Mobile communications for medical care"},{"key":"87_CR9","doi-asserted-by":"publisher","unstructured":"Konstantas D, Herzog R (2003) Continuous monitoring of vital constants for mobile users: the MobiHealth approach. Proc 25th Annu Int Conf IEEE Eng Med Biol Soc (IEEE Cat. No.03CH37439). https:\/\/doi.org\/10.1109\/IEMBS.2003.1280970","DOI":"10.1109\/IEMBS.2003.1280970"},{"key":"87_CR10","doi-asserted-by":"publisher","unstructured":"Shuwandy ML, Zaidan BB, Zaidan AA, Albahri AS (2019) Sensor-based mhealth authentication for real-time remote healthcare monitoring system: a multilayer systematic review. J Med Syst. https:\/\/doi.org\/10.1007\/s10916-018-1149-5","DOI":"10.1007\/s10916-018-1149-5"},{"key":"87_CR11","doi-asserted-by":"publisher","unstructured":"Cornet VP, Holden RJ (2018) Systematic review of smartphone-based passive sensing for health and wellbeing. J Biomed Inform. https:\/\/doi.org\/10.1016\/j.jbi.2017.12.008","DOI":"10.1016\/j.jbi.2017.12.008"},{"key":"87_CR12","doi-asserted-by":"publisher","unstructured":"Levac D, Colquhoun H, O\u2019Brien KK (2010) Scoping studies: Advancing the methodology. Implement. Sci. https:\/\/doi.org\/10.1186\/1748-5908-5-69","DOI":"10.1186\/1748-5908-5-69"},{"key":"87_CR13","doi-asserted-by":"publisher","unstructured":"Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009) PRISMA 2009 flow diagram. PLoS Med. https:\/\/doi.org\/10.1371\/journal.pmed1000097","DOI":"10.1371\/journal.pmed1000097"},{"key":"87_CR14","unstructured":"Graham E (2016) Improving outcomes through personalised medicine. NHS Engl"},{"key":"87_CR15","doi-asserted-by":"publisher","unstructured":"Lee H, Chen YPP (2015) Image based computer aided diagnosis system for cancer detection. Exp Syst Appl. https:\/\/doi.org\/10.1016\/j.eswa.2015.02.005","DOI":"10.1016\/j.eswa.2015.02.005"},{"key":"87_CR16","unstructured":"Syed Umar Amin KA, Beg R (2013) Data mining in clinical decision support systems for diagnosis, prediction and treatment of heart disease. Int J Adv Res Comput Eng Technol"},{"key":"87_CR17","doi-asserted-by":"publisher","unstructured":"Merians AS et al (2002) Virtual reality\u2013augmented rehabilitation for patients following stroke. Phys. Ther. https:\/\/doi.org\/10.1093\/ptj\/82.9.898","DOI":"10.1093\/ptj\/82.9.898"},{"key":"87_CR18","doi-asserted-by":"publisher","unstructured":"Neumann PJ, Claxton K, Weinstein MC (2000) The FDA\u2019s regulation of health economic information. Health Aff. https:\/\/doi.org\/10.1377\/hltha.19.5.129","DOI":"10.1377\/hltha.19.5.129"},{"key":"87_CR19","unstructured":"Comstock J (2017) Apple, Stanford launch Apple Heart Study to improve atrial fibrillation detection. Mobile Health News"},{"key":"87_CR20","unstructured":"N.A (2017) Apple is going after the health care industry, starting with personal health data. CB Insights"},{"key":"87_CR21","doi-asserted-by":"publisher","unstructured":"Drott MC (1995) Reexamining the role of conference papers in scholarly communication. J Am Soc Inf Sci. https:\/\/doi.org\/10.1002\/(SICI)1097-4571(199505)46:4h299::AID-ASI6i3.0.CO;2-0","DOI":"10.1002\/(SICI)1097-4571(199505)46:4h299::AID-ASI6i3.0.CO;2-0"},{"key":"87_CR22","doi-asserted-by":"publisher","unstructured":"Bryman A (2006) Integrating quantitative and qualitative research: How is it done? Qual Res. https:\/\/doi.org\/10.1177\/1468794106058877","DOI":"10.1177\/1468794106058877"},{"key":"87_CR23","doi-asserted-by":"publisher","unstructured":"Sevick MA et al (2008) Design, feasibility, and acceptability of an intervention using personal digital assistant-based self-monitoring in managing type 2 diabetes. Contemp Clin Trials 29:396\u2013409. https:\/\/doi.org\/10.1016\/j.cct.2007.09.004","DOI":"10.1016\/j.cct.2007.09.004"},{"key":"87_CR24","doi-asserted-by":"publisher","unstructured":"Magnan RE, K\u00f6blitz AR, McCaul KD, Dillard AJ (2013) Self-monitoring effects of ecological momentary assessment on smokers\u2019 perceived risk and worry. Psychol Assess. https:\/\/doi.org\/10.1037\/a0031232","DOI":"10.1037\/a0031232"},{"key":"87_CR25","doi-asserted-by":"publisher","unstructured":"Takano K, Sakamoto S, Tanno Y (2013) Ruminative self-focus in daily life: Associations with daily activities and depressive symptoms. Emotion. https:\/\/doi.org\/10.1037\/a0031867","DOI":"10.1037\/a0031867"},{"key":"87_CR26","doi-asserted-by":"publisher","unstructured":"Blum D et al (2014) Feasibility and acceptance of electronic monitoring of symptoms and syndromes using a handheld computer in patients with advanced cancer in daily oncology practice. Support Care Cancer. https:\/\/doi.org\/10.1007\/s00520-014-2201-8","DOI":"10.1007\/s00520-014-2201-8"},{"key":"87_CR27","doi-asserted-by":"publisher","unstructured":"Faurholt-Jepsen M, Vinberg M, Frost M, Christensen EM, Bardram JE, Kessing LV (2015) Smartphone data as an electronic biomarker of illness activity in bipolar disorder. Bipolar Disord. https:\/\/doi.org\/10.1111\/bdi.12332","DOI":"10.1111\/bdi.12332"},{"key":"87_CR28","doi-asserted-by":"publisher","unstructured":"Kropff J et al (2015) 2 month evening and night closed-loop glucose control in patients with type 1 diabetes under free-living conditions: A randomised crossover trial. Lancet Diabetes Endocrinol. https:\/\/doi.org\/10.1016\/S2213-8587(15)00335-6","DOI":"10.1016\/S2213-8587(15)00335-6"},{"key":"87_CR29","doi-asserted-by":"publisher","unstructured":"Verwey R, van der Weegen S, Spreeuwenberg M, Tange H, van der Weijden T, de Witte L (2016) Process evaluation of physical activity counselling with and without the use of mobile technology: A mixed methods study. Int J Nurs Stud. https:\/\/doi.org\/10.1016\/j.ijnurstu.2015.10.008","DOI":"10.1016\/j.ijnurstu.2015.10.008"},{"key":"87_CR30","doi-asserted-by":"publisher","unstructured":"Zhou W, Chen M, Yuan J, Sun Y (2016) Welltang - A smart phone-based diabetes management application - Improves blood glucose control in Chinese people with diabetes. Diabetes Res Clin Pract. https:\/\/doi.org\/10.1016\/j.diabres.2016.03.018","DOI":"10.1016\/j.diabres.2016.03.018"},{"key":"87_CR31","doi-asserted-by":"publisher","unstructured":"Padhye NS, Wang J (2015) Pattern of active and inactive sequences of diabetes self-monitoring in mobile phone and paper diary users. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/IEMBS.2007.4352782","DOI":"10.1109\/IEMBS.2007.4352782"},{"key":"87_CR32","doi-asserted-by":"publisher","unstructured":"Mackillop LH et al (2016) Trial protocol to compare the efficacy of a smartphone-based blood glucose management system with standard clinic care in the gestational diabetic population. BMJ Open. https:\/\/doi.org\/10.1136\/bmjopen-2015-009702","DOI":"10.1136\/bmjopen-2015-009702"},{"key":"87_CR33","doi-asserted-by":"publisher","unstructured":"Vorrink SNW, Kort HSM, Troosters T, Zanen P, Lammers JWJ (2016) Efficacy of an mHealth intervention to stimulate physical activity in COPD patients after pulmonary rehabilitation. Eur Respir J. https:\/\/doi.org\/10.1183\/13993003.00083-2016","DOI":"10.1183\/13993003.00083-2016"},{"key":"87_CR34","doi-asserted-by":"publisher","unstructured":"Gr\u00f8nli J, Byrkjedal IK, Bjorvatn B, N\u00f8dtvedt O, Hamre B, Pallesen S (2016) Reading from an iPad or from a book in bed: The impact on human sleep. A randomized controlled crossover trial. Sleep Med. https:\/\/doi.org\/10.1016\/j.sleep.2016.02.006","DOI":"10.1016\/j.sleep.2016.02.006"},{"key":"87_CR35","doi-asserted-by":"publisher","unstructured":"R\u00e5ngtell FH et al (2016) Two hours of evening reading on a self-luminous tablet vs. reading a physical book does not alter sleep after daytime bright light exposure. Sleep Med. https:\/\/doi.org\/10.1016\/j.sleep.2016.06.016","DOI":"10.1016\/j.sleep.2016.06.016"},{"key":"87_CR36","doi-asserted-by":"publisher","unstructured":"Takahashi PY, Quigg SM, Croghan IT, Schroeder DR, Ebbert JO (2016) Effect of pedometer use and goal setting on walking and functional status in overweight adults with multimorbidity: A crossover clinical trial. Clin Interv Aging. https:\/\/doi.org\/10.2147\/CIA.S107626","DOI":"10.2147\/CIA.S107626"},{"key":"87_CR37","doi-asserted-by":"publisher","unstructured":"Skobel E et al (2017) Internet-based training of coronary artery patients: The heart cycle trial. Heart Vessels. https:\/\/doi.org\/10.1007\/s00380-016-0897-8","DOI":"10.1007\/s00380-016-0897-8"},{"key":"87_CR38","doi-asserted-by":"publisher","unstructured":"Brakenridge CL et al (2016) Evaluating the effectiveness of organisational-level strategies with or without an activity tracker to reduce office workers\u2019 sitting time: A cluster-randomised trial. Int J Behav Nutr Phys Act. https:\/\/doi.org\/10.1186\/s12966-016-0441-3","DOI":"10.1186\/s12966-016-0441-3"},{"key":"87_CR39","doi-asserted-by":"publisher","unstructured":"Velardo C et al (2017) Digital health system for personalised COPD long-term management. BMC Med Inform Decis Mak. https:\/\/doi.org\/10.1016\/j.ifacol.2016.03.038","DOI":"10.1016\/j.ifacol.2016.03.038"},{"key":"87_CR40","doi-asserted-by":"publisher","unstructured":"Gardner AW et al (2017) Association between daily walking and antioxidant capacity in patients with symptomatic peripheral artery disease. J Vasc Surg. https:\/\/doi.org\/10.1017\/S0950268818001115","DOI":"10.1017\/S0950268818001115"},{"key":"87_CR41","doi-asserted-by":"publisher","unstructured":"Van Stan JH, Mehta DD, Sternad D, Petit R, Hillman RE (2017) Ambulatory voice biofeedback: relative frequency and summary feedback effects on performance and retention of reduced vocal intensity in the daily lives of participants with normal voices. J Speech Lang Hear Res. https:\/\/doi.org\/10.1044\/2016JSLHR-S-16-0164","DOI":"10.1044\/2016JSLHR-S-16-0164"},{"key":"87_CR42","doi-asserted-by":"publisher","unstructured":"Halcox JPJ et al (2017) Assessment of remote heart rhythm sampling using the AliveCor heart monitor to screen for atrial fibrillation the REHEARSE-AF study. Circulation. https:\/\/doi.org\/10.1161\/CIRCULATIONAHA.117.030583","DOI":"10.1161\/CIRCULATIONAHA.117.030583"},{"key":"87_CR43","doi-asserted-by":"publisher","unstructured":"Kwon S et al. (2016) Sinabro: A smartphone-integrated opportunistic electrocardiogram monitoring system. Sensors (Switzerland). https:\/\/doi.org\/10.3390\/s16030361","DOI":"10.3390\/s16030361"},{"key":"87_CR44","doi-asserted-by":"publisher","unstructured":"Whelan ME, Kingsnorth AP, Orme MW, Sherar LB, Esliger DW (2017) Sensing interstitial glucose to nudge active lifestyles (SIGNAL): Feasibility of combining novel self-monitoring technologies for persuasive behaviour change. BMJ Open. https:\/\/doi.org\/10.1136\/bmjopen-2017-018282","DOI":"10.1136\/bmjopen-2017-018282"},{"key":"87_CR45","doi-asserted-by":"publisher","unstructured":"Onoue T et al (2017) Randomized controlled trial for assessment of Internet of Things system to guide intensive glucose control in diabetes outpatients: Nagoya Health Navigator Study protocol. Nagoya J Med Sci. https:\/\/doi.org\/10.18999\/nagjms.79.3.323","DOI":"10.18999\/nagjms.79.3.323"},{"key":"87_CR46","doi-asserted-by":"publisher","unstructured":"Nogic J, Thein PM, Cameron J, Mirzaee S, Ihdayhid A, Nasis A (2017) The utility of personal activity trackers (Fitbit Charge 2) on exercise capacity in patients post acute coronary syndrome [UP-STEP ACS Trial]: A randomised controlled trial protocol. BMC Cardiovasc Disord. https:\/\/doi.org\/10.1186\/s12872-017-0726-8","DOI":"10.1186\/s12872-017-0726-8"},{"key":"87_CR47","doi-asserted-by":"publisher","unstructured":"Klee P et al (2018) an intervention by a patient-designed do-it-yourself mobile device app reduces HbA1c in Children and adolescents with type 1 diabetes: A randomized double-crossover study. Diabetes Technol Ther. https:\/\/doi.org\/10.1016\/j.jadohealth.2012.10.003","DOI":"10.1016\/j.jadohealth.2012.10.003"},{"key":"87_CR48","doi-asserted-by":"publisher","unstructured":"Gremaud AL et al (2018) Gamifying accelerometer use increases physical activity levels of sedentary office workers. J. Am. Heart Assoc. https:\/\/doi.org\/10.1161\/JAHA.117.007735","DOI":"10.1161\/JAHA.117.007735"},{"key":"87_CR49","doi-asserted-by":"publisher","unstructured":"Wang W et al (2018) A randomized controlled trial on a nurse-led smartphone-based self-management programme for people with poorly controlled type 2 diabetes: A study protocol. J Adv Nurs. https:\/\/doi.org\/10.1111\/jan.13394","DOI":"10.1111\/jan.13394"},{"key":"87_CR50","doi-asserted-by":"publisher","unstructured":"Rosario MBD et al (2018) Evaluation of an mHealth-Based Adjunct to Outpatient Cardiac Rehabilitation. IEEE J Biomed Heal Informatics. https:\/\/doi.org\/10.3414\/ME9112","DOI":"10.3414\/ME9112"},{"key":"87_CR51","doi-asserted-by":"publisher","unstructured":"Goswami U, Black A, Krohn B, Meyers W, Iber C (2019) Smartphone-based delivery of oropharyngeal exercises for treatment of snoring: a randomized controlled trial. Sleep Breath. https:\/\/doi.org\/10.1007\/s11325-018-1690-y","DOI":"10.1007\/s11325-018-1690-y"},{"key":"87_CR52","doi-asserted-by":"publisher","unstructured":"Guo H, Zhang Y, Li P, Zhou P, Chen LM, Li SY (2019) Evaluating the effects of mobile health intervention on weight management, glycemic control and pregnancy outcomes in patients with gestational diabetes mellitus. J Endocrinol Invest. https:\/\/doi.org\/10.1007\/s40618-018-0975-0","DOI":"10.1007\/s40618-018-0975-0"},{"key":"87_CR53","unstructured":"Burke J et al (2006) Participatory sensing. Work World-Sensor-Web Mob. Device Centric Sens Networks Appl:1\u20135. https:\/\/doi.org\/10.1.1.122.3024"},{"key":"87_CR54","doi-asserted-by":"publisher","unstructured":"Moore ST, MacDougall HG, Gracies JM, Cohen HS, Ondo WG (2007) Long-term monitoring of gait in Parkinson\u2019s disease. Gait Posture. https:\/\/doi.org\/10.1016\/j.gaitpost.2006.09.011","DOI":"10.1016\/j.gaitpost.2006.09.011"},{"key":"87_CR55","doi-asserted-by":"publisher","unstructured":"Lee R, Lai C, Chiang S, Liu H, Chen C, Hsieh GDesign and implementation of a mobile-care system over wireless sensor network for home healthcare applications. 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, pp 6004\u20136007. https:\/\/doi.org\/10.1109\/IEMBS.2006.259903","DOI":"10.1109\/IEMBS.2006.259903"},{"key":"87_CR56","doi-asserted-by":"publisher","unstructured":"Nam KW, Lee JJ, Hwang CM, Choi SW, Son HS, Sun K (2007) Personal digital assistant-based, internet-enabled remote communication system for a wearable pneumatic biventricular assist device. Artif Organs 31:842\u2013845. https:\/\/doi.org\/10.1111\/j.1525-1594.2007.00475.x","DOI":"10.1111\/j.1525-1594.2007.00475.x"},{"key":"87_CR57","doi-asserted-by":"publisher","unstructured":"Kim JM, Hong JH, Cho MC, Cha EJ, Lee TS (2007) Wireless biomedical signal monitoring device on wheelchair using noncontact electro-mechanical film sensor. In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. https:\/\/doi.org\/10.1109\/IEMBS.2007.4352355","DOI":"10.1109\/IEMBS.2007.4352355"},{"key":"87_CR58","doi-asserted-by":"publisher","unstructured":"Lee TS, Hong JH, Cho MC (2007) Biomedical digital assistant for ubiquitous healthcare. In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. https:\/\/doi.org\/10.1109\/IEMBS.2007.4352659","DOI":"10.1109\/IEMBS.2007.4352659"},{"key":"87_CR59","doi-asserted-by":"publisher","unstructured":"Kyriacou E et al (2007) An m-health monitoring system for children with suspected arrhythmias. In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. https:\/\/doi.org\/10.1109\/IEMBS.2007.4352660","DOI":"10.1109\/IEMBS.2007.4352660"},{"key":"87_CR60","doi-asserted-by":"publisher","unstructured":"Shin IH, Lee JH, Kim HC (2007) Ubiquitous monitoring system for chronic obstructive pulmonary disease and heart disease patients. In: 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp 3689\u20133692. https:\/\/doi.org\/10.1109\/IEMBS.2007.4353132","DOI":"10.1109\/IEMBS.2007.4353132"},{"key":"87_CR61","doi-asserted-by":"publisher","unstructured":"Sneha S, Varshney U (2007) A wireless ECG monitoring system for pervasive healthcare. Int J Electron Healthc. https:\/\/doi.org\/10.1504\/IJEH.2007.011479","DOI":"10.1504\/IJEH.2007.011479"},{"key":"87_CR62","unstructured":"Arsand E, Olsen O-A, Varmedal R, Mortensen W, Hartvigsen G (2008) A system for monitoring physical activity data among people with type 2 diabetes. Stud Health Technol Inform"},{"key":"87_CR63","unstructured":"Curtis D et al (2007) Is redundancy in vital signs monitoring useful? AMIA Annu Symp Proc"},{"key":"87_CR64","unstructured":"Bickmore T, Gruber A, Intille S (2008) Just-in-time automated counseling for physical activity promotion. AMIA Annu Symp Proc"},{"key":"87_CR65","doi-asserted-by":"publisher","unstructured":"Bourke AK, van de Ven PWJ, Chaya AE, OLaighin GM, Nelson J (2008) Testing of a long-term fall detection system incorporated into a custom vest for the elderly. In: 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. https:\/\/doi.org\/10.1109\/IEMBS.2008.4649795","DOI":"10.1109\/IEMBS.2008.4649795"},{"key":"87_CR66","doi-asserted-by":"publisher","unstructured":"D\u2019Angelo LT, Czabke A, Somlai I, Niazmand K, Lueth TC (2010) ART - A new concept for an activity recorder and transceiver. In: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC\u201910. https:\/\/doi.org\/10.1109\/IEMBS.2010.5627262","DOI":"10.1109\/IEMBS.2010.5627262"},{"key":"87_CR67","doi-asserted-by":"publisher","unstructured":"Becher K, Figueiredo CP, M\u00fchle C, Ruff R, Mendes PM, Hoffmann KP (2010) Design and realization of a wireless sensor gateway for health monitoring. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC\u201910. https:\/\/doi.org\/10.1109\/IEMBS.2010.5627996","DOI":"10.1109\/IEMBS.2010.5627996"},{"key":"87_CR68","doi-asserted-by":"publisher","unstructured":"Ong SW et al (2016) Integrating a smartphone\u2013based self\u2013management system into usual care of advanced CKD. Clin J Am Soc Nephrol. https:\/\/doi.org\/10.2215\/CJN.10681015","DOI":"10.2215\/CJN.10681015"},{"key":"87_CR69","doi-asserted-by":"publisher","unstructured":"Smith GB et al (2006) Hospital-wide physiological surveillance-A new approach to the early identification and management of the sick patient. Resuscitation. https:\/\/doi.org\/10.1016\/j.resuscitation.2006.03.008","DOI":"10.1016\/j.resuscitation.2006.03.008"},{"key":"87_CR70","unstructured":"Killeen JP, Chan TC, Buono C, Griswold WG, Lenert LA (2006) A wireless first responder handheld device for rapid triage , patient assessment and documentation during mass casualty incidents. Proc AMIA Annu Symp"},{"key":"87_CR71","unstructured":"Crawford D, Gao T, White D (2006) Information collection and dissemination: toward a portable, real-time information sharing platform for emergency response. AMIA Annu Symp Proc"},{"key":"87_CR72","unstructured":"Struzik ZR et al (2007) \u2018Mobile nurse\u2019 platform for ubiquitous medicine. Methods Inf Med"},{"key":"87_CR73","doi-asserted-by":"publisher","unstructured":"Kang DO, Lee HJ, Ko EJ, Kang K, Lee J (2006) A wearable context aware system for ubiquitous healthcare. In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. https:\/\/doi.org\/10.1109\/IEMBS.2006.259538","DOI":"10.1109\/IEMBS.2006.259538"},{"key":"87_CR74","doi-asserted-by":"publisher","unstructured":"Jos\u00e9 AB et al (2007) A framework for automated evidence gathering with mobile systems using bayesian networks. In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. https:\/\/doi.org\/10.1109\/IEMBS.2007.4353130","DOI":"10.1109\/IEMBS.2007.4353130"},{"key":"87_CR75","doi-asserted-by":"publisher","unstructured":"Sufi F, Fang Q, Cosic I (2007) ECG R-R peak detection on mobile phones. In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. https:\/\/doi.org\/10.1109\/IEMBS.2007.4353134","DOI":"10.1109\/IEMBS.2007.4353134"},{"key":"87_CR76","doi-asserted-by":"publisher","unstructured":"Quero JM et al (2007) Health care applications based on mobile phone centric smart sensor network. In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. https:\/\/doi.org\/10.1109\/IEMBS.2007.4353795","DOI":"10.1109\/IEMBS.2007.4353795"},{"key":"87_CR77","doi-asserted-by":"publisher","unstructured":"Baldwin LP, Low PH, Picton C, Young T (2007) The use of mobile devices for information sharing in a technology-supported model of care in A&E. Int J Electron Healthc 3(1):90. https:\/\/doi.org\/10.1504\/ijeh.2007.011482","DOI":"10.1504\/ijeh.2007.011482"},{"key":"87_CR78","doi-asserted-by":"publisher","unstructured":"Lucani D, Cataldo G, Cruz J, Villegas G, Wong S (2006) A portable ECG monitoring device with Bluetooth and Holter capabilities for telemedicine applications. In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. https:\/\/doi.org\/10.1109\/IEMBS.2006.260798","DOI":"10.1109\/IEMBS.2006.260798"},{"key":"87_CR79","doi-asserted-by":"publisher","unstructured":"Goh KW, Kim E, Lavanya J, Kim Y, Soh CB (2006) Issues in implementing a knowledge-based ECG Analyzer for personal mobile health monitoring. In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. https:\/\/doi.org\/10.1109\/IEMBS.2006.259632","DOI":"10.1109\/IEMBS.2006.259632"},{"key":"87_CR80","doi-asserted-by":"publisher","unstructured":"Ahola T, Korpinen P, Rakkola J, R\u00e4m\u00f6 T, Salminen J, Savolainen J (2007) Wearable FPGA based wireless sensor platform. In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. https:\/\/doi.org\/10.1109\/IEMBS.2007.4352782","DOI":"10.1109\/IEMBS.2007.4352782"},{"key":"87_CR81","doi-asserted-by":"publisher","unstructured":"Bidargaddi NP, Sarela A (2008) Activity and heart rate-based measures for outpatient cardiac rehabilitation. Methods Inf. Med. https:\/\/doi.org\/10.3414\/ME9112","DOI":"10.3414\/ME9112"},{"key":"87_CR82","doi-asserted-by":"publisher","unstructured":"Dalton AF, Scanaill CN, Carew S, Lyons D, \u00d3laighin G (2007) A clinical evaluation of a remote mobility monitoring system based on SMS messaging. In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. https:\/\/doi.org\/10.1109\/IEMBS.2007.4352792","DOI":"10.1109\/IEMBS.2007.4352792"},{"key":"87_CR83","doi-asserted-by":"publisher","unstructured":"Johnson EI, Barrault M, Nadeau L, Swendsen J (2009) Feasibility and validity of computerized ambulatory monitoring in drug-dependent women. Drug Alcohol Depend. https:\/\/doi.org\/10.1016\/j.drugalcdep.2008.06.010","DOI":"10.1016\/j.drugalcdep.2008.06.010"},{"key":"87_CR84","doi-asserted-by":"publisher","unstructured":"Ahtinen A, Mantyjarvi J, Hakkila J (2008) Using heart rate monitors for personal wellness - The user experience perspective. In: 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. https:\/\/doi.org\/10.1109\/IEMBS.2008.4649476","DOI":"10.1109\/IEMBS.2008.4649476"},{"key":"87_CR85","doi-asserted-by":"publisher","unstructured":"Chang K-M (2009) Portable obstructive sleep apnea screening system using overnight ECG and a PDA-based wireless transmission system. Telemed. e-Health. https:\/\/doi.org\/10.1089\/tmj.2008.0142","DOI":"10.1089\/tmj.2008.0142"},{"key":"87_CR86","doi-asserted-by":"publisher","unstructured":"Schrama T (2009) A wireless portable physiology recorder for psychophysiology research based on a personal digital assistant. Behav Res Methods. https:\/\/doi.org\/10.3758\/BRM.41.3.827","DOI":"10.3758\/BRM.41.3.827"},{"key":"87_CR87","doi-asserted-by":"publisher","unstructured":"Floro JN, Dunton GF, Delfino RJ (2009) Assessing physical activity in children with asthma: Convergent validity between accelerometer and electronic diary data. Res Q Exerc Sport. https:\/\/doi.org\/10.1080\/02701367.2009.10599549","DOI":"10.1080\/02701367.2009.10599549"},{"key":"87_CR88","doi-asserted-by":"publisher","unstructured":"Nimmala VSR, Penders J, van Hyfte D, Brands M, Gyselinckx B (2008) Semantic wireless body area networks. In: 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. https:\/\/doi.org\/10.1109\/IEMBS.2008.4649938","DOI":"10.1109\/IEMBS.2008.4649938"},{"key":"87_CR89","volume-title":"2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","author":"H-K Yang","year":"2008","unstructured":"Yang H-K et al (2008) Application for the wearable heart activity monitoring system\u00a0: Analysis of the autonomic function of HRV. In: 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society"},{"key":"87_CR90","doi-asserted-by":"publisher","unstructured":"Soltani MA (2009) Integrating a hand held computer and stethoscope into a fetal monitor. Med Educ Online. https:\/\/doi.org\/10.3885\/meo.2009.T0000135","DOI":"10.3885\/meo.2009.T0000135"},{"key":"87_CR91","doi-asserted-by":"publisher","unstructured":"Hachizuka M et al (2010) Development of a Personal Digital Assistant (PDA) System to collect symptom information from home hospice patients. J Palliat Med. https:\/\/doi.org\/10.1089\/jpm.2009.0350","DOI":"10.1089\/jpm.2009.0350"},{"key":"87_CR92","doi-asserted-by":"publisher","unstructured":"P\u00e4rkk\u00e4 J, Cluitmans L, Ermes M (2010) Personalization algorithm for real-time activity recognition using PDA, wireless motion bands, and binary decision tree. IEEE Trans Inf Technol Biomed. https:\/\/doi.org\/10.1109\/TITB.2010.2055060","DOI":"10.1109\/TITB.2010.2055060"},{"key":"87_CR93","doi-asserted-by":"publisher","unstructured":"Prajapati SK, Gage WH, Brooks D, Black SE, McIlroy WE (2011) A novel approach to ambulatory monitoring: Investigation into the quantity and control of everyday walking in patients with subacute stroke. Neurorehabil Neural Repair 25:6\u201314. https:\/\/doi.org\/10.1177\/1545968310374189","DOI":"10.1177\/1545968310374189"},{"key":"87_CR94","doi-asserted-by":"publisher","unstructured":"H\u00f6ll B et al (2011) Design of a mobile, safety-critical in-patient glucose management system. In: Studies in Health Technology and Informatics. https:\/\/doi.org\/10.3233\/978-1-60750-806-9-950","DOI":"10.3233\/978-1-60750-806-9-950"},{"key":"87_CR95","doi-asserted-by":"publisher","unstructured":"Schwerdtfeger A, Eberhardt R, Chmitorz A, Schaller E (2010) Momentary affect predicts bodily movement in daily life: An ambulatory monitoring study. J Sport Exerc Psychol. https:\/\/doi.org\/10.1123\/jsep.32.5.674","DOI":"10.1123\/jsep.32.5.674"},{"key":"87_CR96","doi-asserted-by":"publisher","unstructured":"Miranda-Cid A, Alvarado-Serrano C (2010) An ECG ambulatory system with mobile embedded architecture for ST-segment analysis. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC\u201910. https:\/\/doi.org\/10.1109\/IEMBS.2010.5626165","DOI":"10.1109\/IEMBS.2010.5626165"},{"key":"87_CR97","doi-asserted-by":"publisher","unstructured":"Rigoberto MM, Toshiyo T, Masaki S (2010) Smart phone as a tool for measuring anticipatory postural adjustments in healthy subjects, a step toward more personalized healthcare. In: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC\u201910. https:\/\/doi.org\/10.1109\/IEMBS.2010.5626162","DOI":"10.1109\/IEMBS.2010.5626162"},{"key":"87_CR98","doi-asserted-by":"publisher","unstructured":"Gargiulo G, Bifulco P, Cesarelli M, Jin C, McEwan A, Van Schaik A (2010) Wearable dry sensors with bluetooth connection for use in remote patient monitoring systems. In: Studies in Health Technology and Informatics. https:\/\/doi.org\/10.3233\/978-1-60750-659-1-57","DOI":"10.3233\/978-1-60750-659-1-57"},{"key":"87_CR99","doi-asserted-by":"publisher","unstructured":"Angelidis PA (2010) Personalised physical exercise regime for chronic patients through a wearable ICT platform. Int J Electron Healthc. https:\/\/doi.org\/10.1504\/IJEH.2010.036207","DOI":"10.1504\/IJEH.2010.036207"},{"key":"87_CR100","doi-asserted-by":"publisher","unstructured":"D\u2019Angelo LT, Schneider M, Neugebauer P, Lueth TC (2011) A sensor network to iPhone interface separating continuous and sporadic processes in mobile telemedicine. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1007\/s10994-008-5060-z","DOI":"10.1007\/s10994-008-5060-z"},{"key":"87_CR101","doi-asserted-by":"publisher","unstructured":"Mehl MR, Robbins ML, Deters FG (2012) Naturalistic observation of health-relevant social processes: The electronically activated recorder methodology in psychosomatics. Psychosom Med. https:\/\/doi.org\/10.1097\/PSY.0b013e3182545470","DOI":"10.1097\/PSY.0b013e3182545470"},{"key":"87_CR102","doi-asserted-by":"publisher","unstructured":"Ben-Zeev D, McHugo GJ, Xie H, Dobbins K, Young MA (2012) Comparing retrospective reports to real-time\/real-place mobile assessments in individuals with schizophrenia and a nonclinical comparison group. Schizophr Bull. https:\/\/doi.org\/10.1093\/schbul\/sbr171","DOI":"10.1093\/schbul\/sbr171"},{"key":"87_CR103","doi-asserted-by":"crossref","unstructured":"Lee M, Gatton TM, Lee KK (2010) A monitoring and advisory system for diabetes patient management using a rule-based method and KNN. Sensors","DOI":"10.3390\/s100403934"},{"key":"87_CR104","doi-asserted-by":"publisher","unstructured":"Kim J, Huo X, Minocha J, Holbrook J, Laumann A, Ghovanloo M (2012) Evaluation of a smartphone platform as a wireless interface between tongue drive system and electric-powered wheelchairs. IEEE Trans Biomed Eng. https:\/\/doi.org\/10.1109\/TBME.2012.2194713","DOI":"10.1109\/TBME.2012.2194713"},{"key":"87_CR105","doi-asserted-by":"publisher","unstructured":"Pollonini L, Rajan NO, Xu S, Madala S, Dacso CC (2012) A novel handheld device for use in remote patient monitoring of heart failure patients-design and preliminary validation on healthy subjects. J Med Syst. https:\/\/doi.org\/10.1007\/s10916-010-9531-y","DOI":"10.1007\/s10916-010-9531-y"},{"key":"87_CR106","doi-asserted-by":"publisher","unstructured":"Leone JR (2011) Utility of a wireless, handheld monitoring system in the management of hemophilia patients. CIN - Comput Informatics Nurs. https:\/\/doi.org\/10.1097\/NCN.0b013e3182066356","DOI":"10.1097\/NCN.0b013e3182066356"},{"key":"87_CR107","doi-asserted-by":"publisher","unstructured":"P\u00e4ler S, Wolff M, Fischer WJ (2012) Food intake monitoring: An acoustical approach to automated food intake activity detection and classification of consumed food. Physiol Meas. https:\/\/doi.org\/10.1088\/0967-3334\/33\/6\/1073","DOI":"10.1088\/0967-3334\/33\/6\/1073"},{"key":"87_CR108","unstructured":"Vankipuram M, McMahon S, Fleury J (2012) ReadySteady: app for accelerometer-based activity monitoring and wellness-motivation feedback system for older adults. AMIA Annu Symp Proc"},{"key":"87_CR109","doi-asserted-by":"publisher","unstructured":"Borus JS, Blood E, Volkening LK, Laffel L, Shrier LA (2013) Momentary assessment of social context and glucose monitoring adherence in adolescents with type 1 diabetes. J Adolesc Heal. https:\/\/doi.org\/10.1016\/j.jadohealth.2012.10.003","DOI":"10.1016\/j.jadohealth.2012.10.003"},{"key":"87_CR110","doi-asserted-by":"publisher","unstructured":"Saxon LA (2013) Ubiquitous wireless ECG recording: A powerful tool physicians should embrace. J Cardiovasc Electrophysiol. https:\/\/doi.org\/10.1111\/jce.12097","DOI":"10.1111\/jce.12097"},{"key":"87_CR111","doi-asserted-by":"publisher","unstructured":"Scheers T, Philippaerts R, Lefevre J (2012) Patterns of physical activity and sedentary behavior in normal-weight, overweight and obese adults, as measured with a portable armband device and an electronic diary. Clin Nutr. https:\/\/doi.org\/10.1016\/j.clnu.2012.04.011","DOI":"10.1016\/j.clnu.2012.04.011"},{"key":"87_CR112","doi-asserted-by":"publisher","unstructured":"Vuong AM et al (2012) Factors affecting acceptability and usability of technological approaches to diabetes self-management: a case study. Diabetes Technol Ther. https:\/\/doi.org\/10.1089\/dia.2012.0139","DOI":"10.1089\/dia.2012.0139"},{"key":"87_CR113","doi-asserted-by":"publisher","unstructured":"Scheers T, Philippaerts R, Lefevre J (2012) Assessment of physical activity and inactivity in multiple domains of daily life: A comparison between a computerized questionnaire and the SenseWear Armband complemented with an electronic diary. Int J Behav Nutr Phys Act. https:\/\/doi.org\/10.1186\/1479-5868-9-71","DOI":"10.1186\/1479-5868-9-71"},{"key":"87_CR114","doi-asserted-by":"publisher","unstructured":"Khan MA, Siddiqi MH, Lee SW (2013) Exploratory data analysis of acceleration signals to select light-weight and accurate features for real-time activity recognition on smartphones. Sensors (Switzerland). https:\/\/doi.org\/10.3390\/s131013099","DOI":"10.3390\/s131013099"},{"key":"87_CR115","doi-asserted-by":"publisher","unstructured":"Peterson SK et al (2013) Identifying early dehydration risk with home-based sensors during radiation treatment: A feasibility study on patients with head and neck cancer. J Natl Cancer Inst - Monogr. https:\/\/doi.org\/10.1093\/jncimonographs\/lgt016","DOI":"10.1093\/jncimonographs\/lgt016"},{"key":"87_CR116","doi-asserted-by":"publisher","unstructured":"Chung P, Rowe A, Etemadi M, Lee H, Roy S (2013) Fabric-based pressure sensor array for decubitus ulcer monitoring. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2013.6611045","DOI":"10.1109\/EMBC.2013.6611045"},{"key":"87_CR117","doi-asserted-by":"publisher","unstructured":"Shin H, Choi B, Kim D, Cho J (2014) Robust sleep quality quantification method for a personal handheld device. Telemed. e-Health. https:\/\/doi.org\/10.1089\/tmj.2013.0216","DOI":"10.1089\/tmj.2013.0216"},{"key":"87_CR118","doi-asserted-by":"publisher","unstructured":"Szczepa\u0144ski A, Saeed K (2014) A mobile device system for early warning of ECG anomalies. Sensors (Switzerland). https:\/\/doi.org\/10.3390\/s140611031","DOI":"10.3390\/s140611031"},{"key":"87_CR119","doi-asserted-by":"publisher","unstructured":"Sun B, Wang Y, Banda J (2014) Gait characteristic analysis and identification based on the iPhone\u2019s accelerometer and gyrometer. Sensors (Switzerland). https:\/\/doi.org\/10.3390\/s140917037","DOI":"10.3390\/s140917037"},{"key":"87_CR120","doi-asserted-by":"publisher","unstructured":"Villarejo MV, Garc\u00eda JM, Zapirain BG, Zorrilla AM (2014) Technological solution for determining gait parametersusing pressure sensors: A case study of multiple sclerosis patients. In: Bio-Medical Materials and Engineering. https:\/\/doi.org\/10.3233\/BME-141177","DOI":"10.3233\/BME-141177"},{"key":"87_CR121","doi-asserted-by":"publisher","unstructured":"Seeger C, Van Laerhoven K, Buchmann A (2015) My health assistant: An event-driven middleware for multiple medical applications on a smartphone-mediated body sensor network. IEEE J Biomed Heal Informatics. https:\/\/doi.org\/10.1109\/JBHI.2014.2326604","DOI":"10.1109\/JBHI.2014.2326604"},{"key":"87_CR122","doi-asserted-by":"publisher","unstructured":"Tartz R, Vartak A, King J, Fowles D (2015) Effects of grip force on skin conductance measured from a handheld device. Psychophysiology. https:\/\/doi.org\/10.1111\/psyp.12237","DOI":"10.1111\/psyp.12237"},{"key":"87_CR123","doi-asserted-by":"publisher","unstructured":"Kwon S, Kim J, Kang S, Lee Y, Baek H, Park K (2014) CardioGuard: A brassiere-based reliable ECG monitoring sensor system for supporting daily smartphone healthcare applications. Telemed. e-Health. https:\/\/doi.org\/10.1089\/tmj.2014.0008","DOI":"10.1089\/tmj.2014.0008"},{"key":"87_CR124","doi-asserted-by":"publisher","unstructured":"Alshurafa N, Eastwood JA, Pourhomayoun M, Liu JJ, Sarrafzadeh M (2014) Remote health monitoring: Predicting outcome success based on contextual features for cardiovascular disease. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. https:\/\/doi.org\/10.1109\/EMBC.2014.6943953","DOI":"10.1109\/EMBC.2014.6943953"},{"key":"87_CR125","doi-asserted-by":"publisher","unstructured":"Kwon S, Kang S, Lee Y, Yoo C, Park K (2014) Unobtrusive monitoring of ECG-derived features during daily smartphone use. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. https:\/\/doi.org\/10.1109\/EMBC.2014.6944738","DOI":"10.1109\/EMBC.2014.6944738"},{"key":"87_CR126","doi-asserted-by":"publisher","unstructured":"Capela NA, Lemaire ED, Baddour N (2015) Feature selection for wearable smartphone-based human activity recognition with able bodied, elderly, and stroke patients. PLoS One. https:\/\/doi.org\/10.1371\/journal.pone.0124414","DOI":"10.1371\/journal.pone.0124414"},{"key":"87_CR127","doi-asserted-by":"publisher","unstructured":"Miao F, He Y, Liu J, Li Y, Ayoola I (2015) Identifying typical physical activity on smartphone with varying positions and orientations. Biomed Eng Online 14:32. https:\/\/doi.org\/10.1186\/s12938-015-0026-4","DOI":"10.1186\/s12938-015-0026-4"},{"key":"87_CR128","doi-asserted-by":"publisher","unstructured":"Kim A, Kim J, Rietdyk S, Ziaie B (2015) A wearable smartphone-enabled camera-based system for gait assessment. Gait Posture. https:\/\/doi.org\/10.1016\/j.gaitpost.2015.05.001","DOI":"10.1016\/j.gaitpost.2015.05.001"},{"key":"87_CR129","doi-asserted-by":"publisher","unstructured":"Ghose S, Mitra J, Karunanithi M, Dowling J (2015) Human activity recognition from smart-phone sensor data using a multi-class ensemble learning in home monitoring. In: Studies in health technology and informatics. https:\/\/doi.org\/10.3233\/978-1-61499-558-6-62","DOI":"10.3233\/978-1-61499-558-6-62"},{"key":"87_CR130","doi-asserted-by":"publisher","unstructured":"Kay MS, Iaione F (2015) Viability of a bioelectrical signal acquisition system energized by cellphone with NFC. In: Studies in Health Technology and Informatics. https:\/\/doi.org\/10.3233\/978-1-61499-564-7-900","DOI":"10.3233\/978-1-61499-564-7-900"},{"key":"87_CR131","doi-asserted-by":"publisher","unstructured":"Kostikis N, Hristu-Varsakelis D, Arnaoutoglou M, Kotsavasiloglou C (2015) A smartphone-based tool for assessing parkinsonian hand tremor. IEEE J Biomed Heal Informatics. https:\/\/doi.org\/10.1109\/JBHI.2015.2471093","DOI":"10.1109\/JBHI.2015.2471093"},{"key":"87_CR132","doi-asserted-by":"publisher","unstructured":"Otoom M, Alshraideh H, Almasaeid HM, L\u00f3pez-De-Ipi\u00f1a D, Bravo J (2015) Real-time statistical modeling of blood sugar. J Med Syst. https:\/\/doi.org\/10.1007\/s10916-015-0301-8","DOI":"10.1007\/s10916-015-0301-8"},{"key":"87_CR133","doi-asserted-by":"publisher","unstructured":"Ku HH (2015) Design of a Golf Swing Injury Detection and Evaluation open service platform with Ontology-oriented clustering case-based reasoning mechanism. In: Technology and Health Care 24:S261\u2013S270. https:\/\/doi.org\/10.3233\/THC-151083","DOI":"10.3233\/THC-151083"},{"key":"87_CR134","doi-asserted-by":"publisher","unstructured":"Park HS, Cho H, Kim HS (2016) Development of a multi-agent M-health application based on various protocols for chronic disease self-management. J Med Syst. https:\/\/doi.org\/10.1007\/s10916-015-0401-5","DOI":"10.1007\/s10916-015-0401-5"},{"key":"87_CR135","doi-asserted-by":"publisher","unstructured":"Brugu\u00e9s A et al (2016) Processing diabetes mellitus composite events in MAGPIE. J. Med. Syst. https:\/\/doi.org\/10.1007\/s10916-015-0377-1","DOI":"10.1007\/s10916-015-0377-1"},{"key":"87_CR136","doi-asserted-by":"publisher","unstructured":"Orr K et al (2015) Validity of smartphone pedometer applications Public Health. BMC Res Notes. https:\/\/doi.org\/10.1186\/s13104-015-1705-8","DOI":"10.1186\/s13104-015-1705-8"},{"key":"87_CR137","doi-asserted-by":"publisher","unstructured":"Serhani MA, El Menshawy M, Benharref A (2016) SME2EM: Smart mobile end-to-end monitoring architecture for life-long diseases. Comput Biol Med. https:\/\/doi.org\/10.1016\/j.compbiomed.2015.11.009","DOI":"10.1016\/j.compbiomed.2015.11.009"},{"key":"87_CR138","doi-asserted-by":"publisher","unstructured":"Gu F, Kealy A, Khoshelham K, Shang J (2015) User-independent motion state recognition using smartphone sensors,\u201d Sensors (Switzerland). https:\/\/doi.org\/10.3390\/s151229821","DOI":"10.3390\/s151229821"},{"key":"87_CR139","doi-asserted-by":"publisher","unstructured":"Lemaire ED, Tundo MD, Baddour N (2015) Evaluation of a smartphone-based human activity recognition system in a daily living environment. J Vis Exp. https:\/\/doi.org\/10.3791\/53004","DOI":"10.3791\/53004"},{"key":"87_CR140","doi-asserted-by":"publisher","unstructured":"De Cillisy F, De Simioy F, Guidoy F, Incalzi RA, Setolay R (2015) Fall-detection solution for mobile platforms using accelerometer and gyroscope data. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2015.7319203","DOI":"10.1109\/EMBC.2015.7319203"},{"key":"87_CR141","doi-asserted-by":"publisher","unstructured":"Tange Y, Takeno S, Hori J (2015) Development of the obstacle detection system combining orientation sensor of smartphone and distance sensor. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2015.7319929","DOI":"10.1109\/EMBC.2015.7319929"},{"key":"87_CR142","doi-asserted-by":"publisher","unstructured":"Estrada L, Torres A, Sarlabous L, Jan R (2015) Respiratory signal derived from the smartphone built-in accelerometer during a Respiratory Load Protocol. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2015.7319947","DOI":"10.1109\/EMBC.2015.7319947"},{"key":"87_CR143","doi-asserted-by":"publisher","unstructured":"Duregger K, Hayn D, Morak J, Ladenstein R, Schreier G (2015) An mHealth system for toxicity monitoring of paediatric oncological patients using Near Field Communication technology. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2015.7319966","DOI":"10.1109\/EMBC.2015.7319966"},{"key":"87_CR144","doi-asserted-by":"publisher","unstructured":"Hernandez J, McDuff DJ, Picard RW (2015) Biophone: Physiology monitoring from peripheral smartphone motions. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2015.7320048","DOI":"10.1109\/EMBC.2015.7320048"},{"key":"87_CR145","doi-asserted-by":"publisher","unstructured":"Garde A, Dehkordi P, Wensley D, Ansermino JM, Dumont GA (2015) Pulse oximetry recorded from the Phone Oximeter for detection of obstructive sleep apnea events with and without oxygen desaturation in children. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2015.7320174","DOI":"10.1109\/EMBC.2015.7320174"},{"key":"87_CR146","doi-asserted-by":"publisher","unstructured":"Capela NA, Lemaire ED, Baddour N, Rudolf M, Goljar N, Burger H (2016) Evaluation of a smartphone human activity recognition application with able-bodied and stroke participants. J Neuroeng Rehabil. https:\/\/doi.org\/10.1186\/s12984-016-0114-0","DOI":"10.1186\/s12984-016-0114-0"},{"key":"87_CR147","doi-asserted-by":"publisher","unstructured":"Nam Y, Kong Y, Reyes B, Reljin N, Chon KH (2016) Monitoring of heart and breathing rates using dual cameras on a smartphone. PLoS One. https:\/\/doi.org\/10.1371\/journal.pone.0151013","DOI":"10.1371\/journal.pone.0151013"},{"key":"87_CR148","doi-asserted-by":"publisher","unstructured":"Zhang Y, Liu H, Su X, Jiang P, Wei D (2015) Remote mobile health monitoring system based on smart phone and browser\/server structure. J Healthc Eng. https:\/\/doi.org\/10.1260\/2040-2295.6.4.717","DOI":"10.1260\/2040-2295.6.4.717"},{"key":"87_CR149","doi-asserted-by":"publisher","unstructured":"Cheatham SW, Kolber MJ, Ernst MP (2015) Concurrent validity of resting pulse-rate measurements: A comparison of 2 smartphone applications, the polar H7 belt monitor, and a pulse oximeter with bluetooth. J Sport Rehabil. https:\/\/doi.org\/10.1123\/jsr.2013-0145","DOI":"10.1123\/jsr.2013-0145"},{"key":"87_CR150","doi-asserted-by":"publisher","unstructured":"Schmidt PE et al (2015) Impact of introducing an electronic physiological surveillance system on hospital mortality. BMJ Qual Saf. https:\/\/doi.org\/10.1136\/bmjqs-2014-003073","DOI":"10.1136\/bmjqs-2014-003073"},{"key":"87_CR151","doi-asserted-by":"publisher","unstructured":"Arsand E, Muzny M, Bradway M, Muzik J, Hartvigsen G (2015) Performance of the first combined smartwatch and smartphone diabetes diary application study. J Diabetes Sci Technol. https:\/\/doi.org\/10.1177\/1932296814567708","DOI":"10.1177\/1932296814567708"},{"key":"87_CR152","doi-asserted-by":"publisher","unstructured":"Haberman ZC et al (2015) Wireless smartphone ECG enables large-scale screening in diverse populations. J Cardiovasc Electrophysiol. https:\/\/doi.org\/10.1111\/jce.12634","DOI":"10.1111\/jce.12634"},{"key":"87_CR153","doi-asserted-by":"publisher","unstructured":"Peritz DC, Howard A, Ciocca M, Chung EH (2015) Smartphone ECG AIDS real time diagnosis of palpitations in the competitive college athlete. J Electrocardiol. https:\/\/doi.org\/10.1016\/j.jelectrocard.2015.07.010","DOI":"10.1016\/j.jelectrocard.2015.07.010"},{"key":"87_CR154","doi-asserted-by":"publisher","unstructured":"McManus DD et al (2016) PULSE-SMART: Pulse-based arrhythmia discrimination using a novel smartphone application. J Cardiovasc Electrophysiol. https:\/\/doi.org\/10.1111\/jce.12842","DOI":"10.1111\/jce.12842"},{"key":"87_CR155","doi-asserted-by":"publisher","unstructured":"Guidi A et al (2015) Smartphone application for the analysis of prosodic features in running speech with a focus on bipolar disorders: System performance evaluation and case study. Sensors (Switzerland). https:\/\/doi.org\/10.3390\/s151128070","DOI":"10.3390\/s151128070"},{"key":"87_CR156","doi-asserted-by":"publisher","unstructured":"Flatt AA, Esco MR (2015) Smartphone-derived heart-rate variability and training load in a women\u2019s soccer team. Int J Sports Physiol Perform. https:\/\/doi.org\/10.1123\/ijspp.2014-0556","DOI":"10.1123\/ijspp.2014-0556"},{"key":"87_CR157","doi-asserted-by":"publisher","unstructured":"Romyn G, Robey E, Dimmock JA, Halson SL, Peeling P (2016) Sleep, anxiety and electronic device use by athletes in the training and competition environments. Eur J Sport Sci. https:\/\/doi.org\/10.1080\/17461391.2015.1023221","DOI":"10.1080\/17461391.2015.1023221"},{"key":"87_CR158","doi-asserted-by":"publisher","unstructured":"Kalantarian H, Sarrafzadeh M (2015) Audio-based detection and evaluation of eating behavior using the smartwatch platform. Comput Biol Med. https:\/\/doi.org\/10.1016\/j.compbiomed.2015.07.013","DOI":"10.1016\/j.compbiomed.2015.07.013"},{"key":"87_CR159","doi-asserted-by":"publisher","unstructured":"Choo KY, Ling HC, Lo YC, Yap ZH, Pua JS, Phan RCW, Goh VT (2015) Android based self-diagnostic electrocardiogram system for mobile healthcare. In: Technology and health care, vol 23, pp S435\u2013S442. https:\/\/doi.org\/10.3233\/THC-150980","DOI":"10.3233\/THC-150980"},{"key":"87_CR160","doi-asserted-by":"publisher","unstructured":"Mohino-Herranz I, Gil-Pita R, Ferreira J, Rosa-Zurera M, Seoane F (2015) Assessment of mental, emotional and physical stress through analysis of physiological signals using smartphones. Sensors (Switzerland). https:\/\/doi.org\/10.3390\/s151025607","DOI":"10.3390\/s151025607"},{"key":"87_CR161","doi-asserted-by":"publisher","unstructured":"Trindade IG, Martins F, Dias R, Oliveira C, Machado Da Silva J (2015) Novel textile systems for the continuous monitoring of vital signals: Design and characterization. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2015.7319207","DOI":"10.1109\/EMBC.2015.7319207"},{"key":"87_CR162","doi-asserted-by":"publisher","unstructured":"Artetxe A, Beristain A, Kabongo L (2014) Activity classification using mobile phone based motion sensing and distributed computing. In: Studies in Health Technology and Informatics. https:\/\/doi.org\/10.3233\/978-1-61499-474-9-1","DOI":"10.3233\/978-1-61499-474-9-1"},{"key":"87_CR163","doi-asserted-by":"publisher","unstructured":"Cheffena M (2016) Fall Detection Using Smartphone Audio Features. IEEE J Biomed Heal Informatics. https:\/\/doi.org\/10.1109\/JBHI.2015.2425932","DOI":"10.1109\/JBHI.2015.2425932"},{"key":"87_CR164","doi-asserted-by":"publisher","unstructured":"Barreira TV, Hamilton MT, Craft LL, Gapstur SM, Siddique J, Zderic TW (2016) Intra-individual and inter-individual variability in daily sitting time and MVPA. J Sci Med Sport 19:476\u2013481. https:\/\/doi.org\/10.1016\/j.jsams.2015.05.004","DOI":"10.1016\/j.jsams.2015.05.004"},{"key":"87_CR165","doi-asserted-by":"publisher","unstructured":"Garcia-Ceja E, Osmani V, Mayora O (2016) Automatic stress detection in working environments from smartphones\u2019 accelerometer data: A first step. IEEE J Biomed Heal Informatics. https:\/\/doi.org\/10.1109\/JBHI.2015.2446195","DOI":"10.1109\/JBHI.2015.2446195"},{"key":"87_CR166","doi-asserted-by":"publisher","unstructured":"Raknim P, Lan K (2016) Gait monitoring for early neurological disorder detection using sensors in a smartphone: Validation and a case study of parkinsonism. Telemed e-Health. https:\/\/doi.org\/10.1089\/tmj.2015.0005","DOI":"10.1089\/tmj.2015.0005"},{"key":"87_CR167","doi-asserted-by":"publisher","unstructured":"Rosenberger ME, Buman MP, Haskell WL, McConnell MV, Carstensen LL (2016) Twenty-four hours of sleep, sedentary behavior, and physical activity with nine wearable devices. Med Sci Sports Exerc. https:\/\/doi.org\/10.1249\/MSS.0000000000000778","DOI":"10.1249\/MSS.0000000000000778"},{"key":"87_CR168","doi-asserted-by":"publisher","unstructured":"Gordon BA, Bruce L, Benson AC (2016) Physical activity intensity can be accurately monitored by smartphone global positioning system \u2018app\u2019. Eur J Sport Sci. https:\/\/doi.org\/10.1080\/17461391.2015.1105299","DOI":"10.1080\/17461391.2015.1105299"},{"key":"87_CR169","doi-asserted-by":"publisher","unstructured":"Major MJ, Alford M (2016) Validity of the iPhone M7 motion co-processor as a pedometer for able-bodied ambulation. J Sports Sci. https:\/\/doi.org\/10.1080\/02640414.2016.1189086","DOI":"10.1080\/02640414.2016.1189086"},{"key":"87_CR170","doi-asserted-by":"publisher","unstructured":"Wang Y, Doleschel S, Wunderlich R, Heinen S (2016) Evaluation of digital compressed sensing for real-time wireless ECG system with bluetooth low energy. J Med Syst 40(7):170. https:\/\/doi.org\/10.1007\/s10916-016-0526-1","DOI":"10.1007\/s10916-016-0526-1"},{"key":"87_CR171","doi-asserted-by":"publisher","unstructured":"Li P, Wang Y, Tian Y, Zhou TS, Li JS (2017) An automatic user-adapted physical activity classification method using smartphones. IEEE Trans Biomed Eng. https:\/\/doi.org\/10.1109\/TBME.2016.2573045","DOI":"10.1109\/TBME.2016.2573045"},{"key":"87_CR172","doi-asserted-by":"publisher","unstructured":"Sareen S, Sood SK, Gupta SK (2016) An automatic prediction of epileptic seizures using cloud computing and wireless sensor networks. J Med Syst. https:\/\/doi.org\/10.1007\/s10916-016-0579-1","DOI":"10.1007\/s10916-016-0579-1"},{"key":"87_CR173","doi-asserted-by":"publisher","unstructured":"Koo SK, Kwon SB, Kim YJ, Moon JS, Kim YJ, Jung SH (2017) Acoustic analysis of snoring sounds recorded with a smartphone according to obstruction site in OSAS patients. Eur Arch Oto-Rhino-Laryngology. https:\/\/doi.org\/10.1007\/s00405-016-4335-4","DOI":"10.1007\/s00405-016-4335-4"},{"key":"87_CR174","doi-asserted-by":"publisher","unstructured":"Cvetkovi\u0107 B, Janko V, Romero AE, Kafal\u0131 \u00d6, Stathis K, Lu\u0161trek M (2016) Activity recognition for diabetic patients using a smartphone. J Med Syst. https:\/\/doi.org\/10.1007\/s10916-016-0598-y","DOI":"10.1007\/s10916-016-0598-y"},{"key":"87_CR175","doi-asserted-by":"publisher","unstructured":"Sun A, Venkatesh AG, Hall DA (2016) A multi-technique reconfigurable electrochemical biosensor: enabling personal health monitoring in mobile devices. IEEE Trans Biomed Circuits Syst. https:\/\/doi.org\/10.1109\/TBCAS.2016.2586504","DOI":"10.1109\/TBCAS.2016.2586504"},{"key":"87_CR176","doi-asserted-by":"publisher","unstructured":"Lemoyne R, Mastroianni T (2016) Implementation of a smartphone as a wireless gyroscope platform for quantifying reduced arm swing in hemiplegie gait with machine learning classification by multilayer perceptron neural network. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2016.7591269","DOI":"10.1109\/EMBC.2016.7591269"},{"key":"87_CR177","doi-asserted-by":"publisher","unstructured":"Garde A, Dekhordi P, Ansermino JM, Dumont GA (2016) Identifying individual sleep apnea\/hypoapnea epochs using smartphone-based pulse oximetry. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2016.7591408","DOI":"10.1109\/EMBC.2016.7591408"},{"key":"87_CR178","doi-asserted-by":"publisher","unstructured":"Nemati E, Sideris K, Kalantarian H, Sarrafzadeh M (2016) A dynamic data source selection system for smartwatch platform. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2016.7592094","DOI":"10.1109\/EMBC.2016.7592094"},{"key":"87_CR179","unstructured":"Cheng Q et al (2016) Classification models for pulmonary function using motion analysis from phone sensors. AMIA Annu Symp Proc"},{"key":"87_CR180","doi-asserted-by":"publisher","unstructured":"Kayyali R et al (2016) Qualitative investigation into a wearable system for chronic obstructive pulmonary disease: The stakeholders\u2019 perspective. BMJ Open. https:\/\/doi.org\/10.1136\/bmjopen-2016-011657","DOI":"10.1136\/bmjopen-2016-011657"},{"key":"87_CR181","doi-asserted-by":"publisher","unstructured":"Liang PC, Krause P (2016) Smartphone-Based real-time indoor location tracking with 1-m precision. IEEE J Biomed Heal Informatics. https:\/\/doi.org\/10.1109\/JBHI.2015.2500439","DOI":"10.1109\/JBHI.2015.2500439"},{"key":"87_CR182","doi-asserted-by":"publisher","unstructured":"Harrison B et al (2016) MyPectus: First-in-human pilot study of remote compliance monitoring of teens using dynamic compression bracing to correct pectus carinatum. J Pediatr Surg. https:\/\/doi.org\/10.1016\/j.jpedsurg.2015.11.007","DOI":"10.1016\/j.jpedsurg.2015.11.007"},{"key":"87_CR183","doi-asserted-by":"publisher","unstructured":"Alshurafa N, Sideris C, Pourhomayoun M, Kalantarian H, Sarrafzadeh M, Eastwood JA (2017) Remote health monitoring outcome success prediction using baseline and first month intervention data. IEEE J Biomed Heal, Informatics. https:\/\/doi.org\/10.1109\/JBHI.2016.2518673","DOI":"10.1109\/JBHI.2016.2518673"},{"key":"87_CR184","doi-asserted-by":"publisher","unstructured":"Leong JY, Wong JE (2017) Accuracy of three Android-based pedometer applications in laboratory and free-living settings. J Sports Sci. https:\/\/doi.org\/10.1080\/02640414.2016.1154592","DOI":"10.1080\/02640414.2016.1154592"},{"key":"87_CR185","doi-asserted-by":"publisher","unstructured":"Abdullah S, Matthews M, Frank E, Doherty G, Gay G, Choudhury T (2016) Automatic detection of social rhythms in bipolar disorder. J Am Med Informatics Assoc. https:\/\/doi.org\/10.1093\/jamia\/ocv200","DOI":"10.1093\/jamia\/ocv200"},{"key":"87_CR186","doi-asserted-by":"publisher","unstructured":"Taylor D et al (2016) Quantified-self for obesity: Physical activity behaviour sensing to improve health outcomes. In: Studies in Health Technology and Informatics. https:\/\/doi.org\/10.3233\/978-1-61499-625-5-414","DOI":"10.3233\/978-1-61499-625-5-414"},{"key":"87_CR187","doi-asserted-by":"publisher","unstructured":"Cochrane SK et al (2017) Association of accelerometry-measured physical activity and cardiovascular events in mobility-limited older adults: The LIFE (Lifestyle Interventions and Independence for Elders) study. J. Am. Heart Assoc. https:\/\/doi.org\/10.1161\/JAHA.117.007215","DOI":"10.1161\/JAHA.117.007215"},{"key":"87_CR188","doi-asserted-by":"publisher","unstructured":"Choi J, Choi C, Ko H, Kim P (2016) Intelligent healthcare service using health lifelog analysis. J Med Syst. https:\/\/doi.org\/10.1007\/s10916-016-0534-1","DOI":"10.1007\/s10916-016-0534-1"},{"key":"87_CR189","doi-asserted-by":"publisher","unstructured":"Brucal SGE, Clamor GKD, Pasiliao LAO, Soriano JPF, Varilla LPM (2016) Portable electrocardiogram device using Android smartphone. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2016.7590751","DOI":"10.1109\/EMBC.2016.7590751"},{"key":"87_CR190","doi-asserted-by":"publisher","unstructured":"Cancela J, et al (2016) Monitoring of motor and non-motor symptoms of Parkinson\u2019s disease through a mHealth platform. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2016.7590789","DOI":"10.1109\/EMBC.2016.7590789"},{"key":"87_CR191","doi-asserted-by":"publisher","unstructured":"Altini M, Amft O (2016) HRV4Training: Large-scale longitudinal training load analysis in unconstrained free-living settings using a smartphone application. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2016.7591265","DOI":"10.1109\/EMBC.2016.7591265"},{"key":"87_CR192","doi-asserted-by":"publisher","unstructured":"Pendergast FJ, Ridgers ND, Worsley A, McNaughton SA (2017) Evaluation of a smartphone food diary application using objectively measured energy expenditure. Int J Behav Nutr Phys Act. https:\/\/doi.org\/10.1186\/s12966-017-0488-9","DOI":"10.1186\/s12966-017-0488-9"},{"key":"87_CR193","doi-asserted-by":"publisher","unstructured":"Lowres N et al (2016) Self-monitoring for atrial fibrillation recurrence in the discharge period post-cardiac surgery using an iPhone electrocardiogram. Eur J Cardio-thoracic Surg. https:\/\/doi.org\/10.1093\/ejcts\/ezv486","DOI":"10.1093\/ejcts\/ezv486"},{"key":"87_CR194","doi-asserted-by":"publisher","unstructured":"Murnane EL et al (2016) Self-monitoring practices, attitudes, and needs of individuals with bipolar disorder: Implications for the design of technologies to manage mental health. J Am Med Informatics Assoc. https:\/\/doi.org\/10.1093\/jamia\/ocv165","DOI":"10.1093\/jamia\/ocv165"},{"key":"87_CR195","doi-asserted-by":"publisher","unstructured":"Reyes BA, Reljin N, Kong Y, Nam Y, Chon KH (2017) Tidal volume and instantaneous respiration rate estimation using a volumetric surrogate signal acquired via a smartphone camera. IEEE J Biomed Heal Informatics. https:\/\/doi.org\/10.1109\/JBHI.2016.2532876","DOI":"10.1109\/JBHI.2016.2532876"},{"key":"87_CR196","doi-asserted-by":"publisher","unstructured":"Reyes BA, Reljin N, Kong Y, Nam Y, Ha S, Chon KH (2016) Employing an incentive spirometer to calibrate tidal volumes estimated from a smartphone camera. Sensors (Switzerland). https:\/\/doi.org\/10.3390\/s16030397","DOI":"10.3390\/s16030397"},{"key":"87_CR197","doi-asserted-by":"publisher","unstructured":"Lee JS, Lin KW, Syue JL (2016) Smartphone-based heart-rate measurement using facial images and a spatiotemporal alpha-trimmed mean filter. In: Technology and Health Care vol 24, pp S777\u2013S783. https:\/\/doi.org\/10.3233\/THC-161207","DOI":"10.3233\/THC-161207"},{"key":"87_CR198","doi-asserted-by":"publisher","unstructured":"Zheng J, Ha C, Zhang Z (2017) Design and evaluation of a ubiquitous chest-worn cardiopulmonary monitoring system for healthcare application: A pilot study. Med Biol Eng Comput. https:\/\/doi.org\/10.1007\/s11517-016-1518-5","DOI":"10.1007\/s11517-016-1518-5"},{"key":"87_CR199","doi-asserted-by":"publisher","unstructured":"Carreiro S, Wittbold K, Indic P, Fang H, Zhang J, Boyer EW (2016) Wearable biosensors to detect physiologic change during opioid use. J Med Toxicol. https:\/\/doi.org\/10.1007\/s13181-016-0557-5","DOI":"10.1007\/s13181-016-0557-5"},{"key":"87_CR200","doi-asserted-by":"publisher","unstructured":"Lipert A, Jegier A (2017) Comparison of different physical activity measurement methods in adults aged 45 to 64 years under free-living conditions. Clin J Sport Med. https:\/\/doi.org\/10.1097\/JSM.0000000000000362","DOI":"10.1097\/JSM.0000000000000362"},{"key":"87_CR201","doi-asserted-by":"publisher","unstructured":"Smieszek T, Castell S, Barrat A, Cattuto C, White PJ, Krause G (2016) Contact diaries versus wearable proximity sensors in measuring contact patterns at a conference: Method comparison and participants\u2019 attitudes. BMC Infect Dis. https:\/\/doi.org\/10.1186\/s12879-016-1676-y","DOI":"10.1186\/s12879-016-1676-y"},{"key":"87_CR202","doi-asserted-by":"publisher","unstructured":"Hickey A et al (2016) Validity of a wearable accelerometer to quantify gait in spinocerebellar ataxia type 6. Physiol. Meas. https:\/\/doi.org\/10.1088\/0967-3334\/37\/11\/N105","DOI":"10.1088\/0967-3334\/37\/11\/N105"},{"key":"87_CR203","doi-asserted-by":"publisher","unstructured":"Yang Z, Zhou Q, Lei L, Zheng K, Xiang W (2016) An IoT-cloud based wearable ECG monitoring system for smart healthcare. J Med Syst. https:\/\/doi.org\/10.1007\/s10916-016-0644-9","DOI":"10.1007\/s10916-016-0644-9"},{"key":"87_CR204","doi-asserted-by":"publisher","unstructured":"Jantunen H et al (2017) Objectively measured physical activity and physical performance in old age. Age Ageing. https:\/\/doi.org\/10.1093\/ageing\/afw194","DOI":"10.1093\/ageing\/afw194"},{"key":"87_CR205","doi-asserted-by":"publisher","unstructured":"Iqbal MH et al (2016) The effectiveness of Google GLASS as a vital signs monitor in surgery: A simulation study. Int J Surg. https:\/\/doi.org\/10.1016\/j.ijsu.2016.11.013","DOI":"10.1016\/j.ijsu.2016.11.013"},{"key":"87_CR206","doi-asserted-by":"publisher","unstructured":"Santoyo-Ram\u00f3n JA, Casilari E, Cano-Garc\u00eda JM (2018) Analysis of a smartphone-based architecture with multiple mobility sensors for fall detection with supervised learning. Sensors (Switzerland). https:\/\/doi.org\/10.3390\/s18041155","DOI":"10.3390\/s18041155"},{"key":"87_CR207","doi-asserted-by":"publisher","unstructured":"Brodie MA, Okubo Y, Annegarn J, Wieching R, Lord SR, Delbaere K (2017) Disentangling the health benefits of walking from increased exposure to falls in older people using remote gait monitoring and multi-dimensional analysis. Physiol Meas. https:\/\/doi.org\/10.1088\/1361-6579\/38\/1\/45","DOI":"10.1088\/1361-6579\/38\/1\/45"},{"key":"87_CR208","doi-asserted-by":"publisher","unstructured":"Hickey A, Del Din S, Rochester L, Godfrey A (2017) Detecting free-living steps and walking bouts: Validating an algorithm for macro gait analysis. Physiol Meas. https:\/\/doi.org\/10.1088\/1361-6579\/38\/1\/N1","DOI":"10.1088\/1361-6579\/38\/1\/N1"},{"key":"87_CR209","doi-asserted-by":"publisher","unstructured":"Hegde N, Melanson E, Sazonov E (2016) Development of a real time activity monitoring Android application utilizing SmartStep. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2016.7591089","DOI":"10.1109\/EMBC.2016.7591089"},{"key":"87_CR210","doi-asserted-by":"publisher","unstructured":"Alqudah H et al (2016) Cardiovascular fitness strengthening using portable device. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. https:\/\/doi.org\/10.1109\/EMBC.2016.7591285","DOI":"10.1109\/EMBC.2016.7591285"},{"key":"87_CR211","doi-asserted-by":"publisher","unstructured":"Voss C, Gardner RF, Dean PH, Harris KC (2017) Validity of commercial activity trackers in children with congenital heart disease. Can J Cardiol. https:\/\/doi.org\/10.1016\/j.cjca.2016.11.024","DOI":"10.1016\/j.cjca.2016.11.024"},{"key":"87_CR212","doi-asserted-by":"publisher","unstructured":"Middelweerd A, Van Der Ploeg HP, Van Halteren A, Twisk JWR, Brug J, Te Velde SJ (2017) A validation study of the fitbit one in daily life using different time intervals. Med Sci Sports Exerc. https:\/\/doi.org\/10.1249\/MSS.0000000000001225","DOI":"10.1249\/MSS.0000000000001225"},{"key":"87_CR213","doi-asserted-by":"publisher","unstructured":"Lin X, Seet BC (2017) Battery-free smart sock for abnormal relative plantar pressure monitoring. IEEE Trans Biomed Circuits Syst. https:\/\/doi.org\/10.1109\/TBCAS.2016.2615603","DOI":"10.1109\/TBCAS.2016.2615603"},{"key":"87_CR214","doi-asserted-by":"publisher","unstructured":"Al-Kurwi ASA, Bos A, Kuitert RB (2017) Overjet reduction in relation to wear time with the van Beek activator combined with a microsensor. Am J Orthod Dentofac Orthop. https:\/\/doi.org\/10.1016\/j.ajodo.2016.06.046","DOI":"10.1016\/j.ajodo.2016.06.046"},{"key":"87_CR215","doi-asserted-by":"publisher","unstructured":"Townhill J et al (2016) Using Actiwatch to monitor circadian rhythm disturbance in Huntington\u2019 disease: A cautionary note. J Neurosci Methods 265:13\u201318. https:\/\/doi.org\/10.1016\/j.jneumeth.2016.01.009","DOI":"10.1016\/j.jneumeth.2016.01.009"},{"key":"87_CR216","doi-asserted-by":"publisher","unstructured":"Nelson MB, Kaminsky LA, Dickin DC, Montoye AHK (2016) Validity of consumer-based physical activity monitors for specific activity types. Med Sci Sports Exerc. https:\/\/doi.org\/10.1249\/MSS.0000000000000933","DOI":"10.1249\/MSS.0000000000000933"},{"key":"87_CR217","doi-asserted-by":"publisher","unstructured":"Chan NY, Choy CC (2017) Screening for atrial fibrillation in 13 122 Hong Kong citizens with smartphone electrocardiogram. Heart. https:\/\/doi.org\/10.1136\/heartjnl-2016-309993","DOI":"10.1136\/heartjnl-2016-309993"},{"key":"87_CR218","doi-asserted-by":"publisher","unstructured":"Lee H et al (2017) Dedicated cardiac rehabilitation wearable sensor and its clinical potential. PLoS One. https:\/\/doi.org\/10.1371\/journal.pone.0187108","DOI":"10.1371\/journal.pone.0187108"},{"key":"87_CR219","doi-asserted-by":"publisher","unstructured":"Kim EK et al (2019) The effect of a smartphone-based, patient-centered diabetes care system in patients with type 2 diabetes: A randomized, controlled trial for 24 weeks. Diabetes Care. https:\/\/doi.org\/10.2337\/dc17-2197","DOI":"10.2337\/dc17-2197"},{"key":"87_CR220","doi-asserted-by":"publisher","unstructured":"Baskaran V, Prescod F, Dong L (2015) A smartphone-based cloud computing tool for managing type 1 diabetes in ontarians. Can J Diabetes 9:200\u2013203. https:\/\/doi.org\/10.1016\/j.jcjd.2015.04.002","DOI":"10.1016\/j.jcjd.2015.04.002"},{"key":"87_CR221","doi-asserted-by":"publisher","unstructured":"Jarad NA, Sund ZM (2011) Telemonitoring in chronic obstructive airway disease and adult patients with cystic fibrosis. J Telemed Telecare 17:127\u2013132. https:\/\/doi.org\/10.1258\/jtt.2010.100309","DOI":"10.1258\/jtt.2010.100309"},{"key":"87_CR222","doi-asserted-by":"publisher","unstructured":"Burke LE et al (2009) SMART trial: A randomized clinical trial of self-monitoring in behavioral weight management-design and baseline findings. Contemp Clin Trials 30:540\u2013551. https:\/\/doi.org\/10.1016\/j.cct.2009.07.003","DOI":"10.1016\/j.cct.2009.07.003"},{"key":"87_CR223","doi-asserted-by":"publisher","unstructured":"Timmis A et al (2018) European society of cardiology: Cardiovascular disease statistics 2017. Eur Heart J. https:\/\/doi.org\/10.1093\/eurheartj\/ehx628.","DOI":"10.1093\/eurheartj\/ehx628"},{"key":"87_CR224","doi-asserted-by":"publisher","unstructured":"Vuorela T, Sepp\u00e4 VP, Vanhala J, Hyttinen J (2010) Design and implementation of a portable long-term physiological signal recorder. IEEE Trans Inf Technol Biomed. https:\/\/doi.org\/10.1109\/TITB.2010.2042606","DOI":"10.1109\/TITB.2010.2042606"},{"key":"87_CR225","doi-asserted-by":"publisher","unstructured":"Hern\u00e1ndez N, Favela J (2015) Estimating the perception of physical fatigue among older adults using mobile phones. In: Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics). https:\/\/doi.org\/10.1007\/978-3-319-24195-17","DOI":"10.1007\/978-3-319-24195-17"},{"key":"87_CR226","doi-asserted-by":"publisher","unstructured":"Atallah L, Lo B, King R, Yang GZ (2010) Sensor placement for activity detection using wearable accelerometers. In: 2010 International Conference on Body Sensor Networks, BSN 2010. https:\/\/doi.org\/10.1109\/BSN.2010.23","DOI":"10.1109\/BSN.2010.23"},{"key":"87_CR227","doi-asserted-by":"publisher","unstructured":"Edy Susanto M (2019) Improving the evidence for mobile health. J Chem Inf Model 53(9):1689\u20131699. https:\/\/doi.org\/10.1017\/CBO9781107415324.004","DOI":"10.1017\/CBO9781107415324.004"},{"key":"87_CR228","doi-asserted-by":"publisher","unstructured":"Akobeng AK (2005) Understanding randomised controlled trials. Arch Dis Child. https:\/\/doi.org\/10.1136\/adc.2004.058222","DOI":"10.1136\/adc.2004.058222"},{"key":"87_CR229","doi-asserted-by":"publisher","unstructured":"Shuren J, Patel B, Gottlieb S (2018) FDA regulation of mobile medical apps. JAMA - Journal of the American Medical Association. https:\/\/doi.org\/10.1001\/jama.2018.8832","DOI":"10.1001\/jama.2018.8832"},{"key":"87_CR230","doi-asserted-by":"crossref","unstructured":"Kjeldskov J, Graham C (2003) A review of mobile HCI research methods. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).","DOI":"10.1007\/978-3-540-45233-1_23"}],"container-title":["Journal of Healthcare Informatics Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41666-020-00087-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s41666-020-00087-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41666-020-00087-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T06:19:16Z","timestamp":1744179556000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s41666-020-00087-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,1]]},"references-count":230,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2021,9]]}},"alternative-id":["87"],"URL":"https:\/\/doi.org\/10.1007\/s41666-020-00087-z","relation":{},"ISSN":["2509-4971","2509-498X"],"issn-type":[{"value":"2509-4971","type":"print"},{"value":"2509-498X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,1]]},"assertion":[{"value":"6 April 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 July 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 December 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 February 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}