{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T00:05:25Z","timestamp":1773446725079,"version":"3.50.1"},"reference-count":51,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2020,11,14]],"date-time":"2020-11-14T00:00:00Z","timestamp":1605312000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010767","name":"Innovative Medicines Initiative","doi-asserted-by":"publisher","award":["820 820"],"award-info":[{"award-number":["820 820"]}],"id":[{"id":"10.13039\/501100010767","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Continuous monitoring by wearable technology is ideal for quantifying mobility outcomes in \u201creal-world\u201d conditions. Concurrent factors such as validity, usability, and acceptability of such technology need to be accounted for when choosing a monitoring device. This study proposes a bespoke methodology focused on defining a decision matrix to allow for effective decision making. A weighting system based on responses (n = 69) from a purpose-built questionnaire circulated within the IMI Mobilise-D consortium and its external collaborators was established, accounting for respondents\u2019 background and level of expertise in using wearables in clinical practice. Four domains (concurrent validity, CV; human factors, HF; wearability and usability, WU; and data capture process, CP), associated evaluation criteria, and scores were established through literature research and group discussions. While the CV was perceived as the most relevant domain (37%), the others were also considered highly relevant (WU: 30%, HF: 17%, CP: 16%). Respondents (~90%) preferred a hidden fixation and identified the lower back as an ideal sensor location for mobility outcomes. Overall, this study provides a novel, holistic, objective, as well as a standardized approach accounting for complementary aspects that should be considered by professionals and researchers when selecting a solution for continuous mobility monitoring.<\/jats:p>","DOI":"10.3390\/s20226509","type":"journal-article","created":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T21:48:52Z","timestamp":1605563332000},"page":"6509","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8255-4730","authenticated-orcid":false,"given":"Tecla","family":"Bonci","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering &amp; INSIGNEO Institute for in Silico Medicine, The University of Sheffield, Sir Frederick Mappin Building, Mappin Street, Sheffield S1 3JD, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5917-6308","authenticated-orcid":false,"given":"Alison","family":"Keogh","sequence":"additional","affiliation":[{"name":"School of Public Health, Physiotherapy and Sports Science, University College Dublin, 4 Dublin, Ireland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1154-4751","authenticated-orcid":false,"given":"Silvia","family":"Del Din","sequence":"additional","affiliation":[{"name":"Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE4 5TG, UK"}]},{"given":"Kirsty","family":"Scott","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering &amp; INSIGNEO Institute for in Silico Medicine, The University of Sheffield, Sir Frederick Mappin Building, Mappin Street, Sheffield S1 3JD, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5215-1746","authenticated-orcid":false,"given":"Claudia","family":"Mazz\u00e0","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering &amp; INSIGNEO Institute for in Silico Medicine, The University of Sheffield, Sir Frederick Mappin Building, Mappin Street, Sheffield S1 3JD, UK"}]},{"name":"on behalf of the Mobilise-D consortium","sequence":"additional","affiliation":[]}],"member":"1968","published-online":{"date-parts":[[2020,11,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1001\/jama.2010.1923","article-title":"Gait speed and survival in older adults","volume":"305","author":"Studenski","year":"2011","journal-title":"JAMA"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1675","DOI":"10.1111\/j.1532-5415.2005.53501.x","article-title":"Prognostic value of usual gait speed in well-functioning older people\u2014results from the Health, Aging and Body Composition Study","volume":"53","author":"Cesari","year":"2005","journal-title":"J. Am. Geriatr. Soc."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1093\/gerona\/glv126","article-title":"Gait speed predicts incident disability: A pooled analysis","volume":"71","author":"Perera","year":"2016","journal-title":"J. Gerontol. Ser. A Biomed. Sci. Med Sci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.parkreldis.2019.01.022","article-title":"Associations between daily-living physical activity and laboratory-based assessments of motor severity in patients with falls and Parkinson\u2019s disease","volume":"62","author":"Galperin","year":"2019","journal-title":"Parkinsonism Relat. Disord."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1293","DOI":"10.1002\/mds.26718","article-title":"Free-living monitoring of Parkinson\u2019s disease: Lessons from the field","volume":"31","author":"Godfrey","year":"2016","journal-title":"Mov. Disord."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1016\/S0021-9290(02)00008-8","article-title":"Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes","volume":"35","author":"Aminian","year":"2002","journal-title":"J. Biomech."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.cmpb.2012.02.003","article-title":"Estimation of spatial-temporal gait parameters in level walking based on a single accelerometer: Validation on normal subjects by standard gait analysis","volume":"108","author":"Benedetti","year":"2012","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"5683","DOI":"10.3390\/s100605683","article-title":"Gait event detection on level ground and incline walking using a rate gyroscope","volume":"10","author":"Catalfamo","year":"2010","journal-title":"Sensors"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"764","DOI":"10.1109\/TNSRE.2015.2457511","article-title":"A mobile Kalman-filter based solution for the real-time estimation of spatio-temporal gait parameters","volume":"24","author":"Ferrari","year":"2015","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1016\/j.gaitpost.2009.11.014","article-title":"Real-time gait event detection for normal subjects from lower trunk accelerations","volume":"31","author":"Alvarez","year":"2010","journal-title":"Gait Posture"},{"key":"ref_11","unstructured":"Lee, H.K., Hwang, S.J., Cho, S.P., Lee, D.R., You, S.H., Lee, K.J., and Choi, H.S. (2009, January 3\u20136). Novel algorithm for the hemiplegic gait evaluation using a single 3-axis accelerometer. Proceedings of the 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, USA."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1007\/s10916-009-9311-8","article-title":"Portable activity monitoring system for temporal parameters of gait cycles","volume":"34","author":"Lee","year":"2010","journal-title":"J. Med Syst."},{"key":"ref_13","unstructured":"Khandelwal, S., and Wickstr\u00f6m, N. (2014, January 3\u20136). Identification of gait events using expert knowledge and continuous wavelet transform analysis. Proceedings of the 7th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2014), Angers, France."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1186\/1743-0003-9-9","article-title":"Bilateral step length estimation using a single inertial measurement unit attached to the pelvis","volume":"9","author":"Cereatti","year":"2012","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1109\/TBME.2012.2227317","article-title":"On-shoe wearable sensors for gait and turning assessment of patients with Parkinson\u2019s disease","volume":"60","author":"Mariani","year":"2012","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1016\/j.gaitpost.2012.02.019","article-title":"An enhanced estimate of initial contact and final contact instants of time using lower trunk inertial sensor data","volume":"36","author":"McCamley","year":"2012","journal-title":"Gait Posture"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"486","DOI":"10.1109\/TBME.2004.840727","article-title":"Assessment of walking features from foot inertial sensing","volume":"52","author":"Sabatini","year":"2005","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1434","DOI":"10.1109\/TBME.2004.827933","article-title":"Gait assessment in Parkinson\u2019s disease: Toward an ambulatory system for long-term monitoring","volume":"51","author":"Salarian","year":"2004","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1064","DOI":"10.1016\/j.medengphy.2011.04.009","article-title":"Adaptive step length estimation algorithm using optimal parameters and movement status awareness","volume":"33","author":"Shin","year":"2011","journal-title":"Med. Eng. Phys."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1186\/1743-0003-11-152","article-title":"Estimation of step-by-step spatio-temporal parameters of normal and impaired gait using shank-mounted magneto-inertial sensors: Application to elderly, hemiparetic, parkinsonian and choreic gait","volume":"11","author":"Trojaniello","year":"2014","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0966-6362(02)00190-X","article-title":"Assessment of spatio-temporal gait parameters from trunk accelerations during human walking","volume":"18","author":"Zijlstra","year":"2003","journal-title":"Gait Posture"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Sahoo, S., Saboo, M., Pratihar, D.K., and Mukhopadhyay, S. (2020). Real-Time Detection of Actual and Early Gait Events During Level-Ground and Ramp Walking. IEEE Sens. J.","DOI":"10.1109\/JSEN.2020.2980863"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"095005","DOI":"10.1088\/1361-6579\/ab42d3","article-title":"Validity, reliability, and feasibility of the uSense activity monitor to register physical activity and gait performance in habitual settings of geriatric patients","volume":"40","author":"Bongartz","year":"2019","journal-title":"Physiol. Meas."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1016\/j.gaitpost.2005.12.017","article-title":"Gait event detection using linear accelerometers or angular velocity transducers in able-bodied and spinal-cord injured individuals","volume":"24","author":"Jasiewicz","year":"2006","journal-title":"Gait Posture"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1016\/j.gaitpost.2016.09.023","article-title":"Evaluation of the performance of accelerometer-based gait event detection algorithms in different real-world scenarios using the MAREA gait database","volume":"51","author":"Khandelwal","year":"2017","journal-title":"Gait Posture"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1016\/j.gaitpost.2015.05.020","article-title":"Analysis of several methods and inertial sensors locations to assess gait parameters in able-bodied subjects","volume":"42","author":"Mansour","year":"2015","journal-title":"Gait Posture"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.gaitpost.2018.08.025","article-title":"Analysis of the performance of 17 algorithms from a systematic review: Influence of sensor position, analysed variable and computational approach in gait timing estimation from IMU measurements","volume":"66","author":"Panebianco","year":"2018","journal-title":"Gait Posture"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Storm, F.A., Heller, B.W., and Mazz\u00e0, C. (2015). Step detection and activity recognition accuracy of seven physical activity monitors. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0118723"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.gaitpost.2016.08.012","article-title":"Gait event detection in laboratory and real life settings: Accuracy of ankle and waist sensor based methods","volume":"50","author":"Storm","year":"2016","journal-title":"Gait Posture"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Storm, F.A., Nair, K.P.S., Clarke, A.J., Van der Meulen, J.M., and Mazza, C. (2018). Free-living and laboratory gait characteristics in patients with multiple sclerosis. PLoS ONE, 13.","DOI":"10.1371\/journal.pone.0196463"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/j.gaitpost.2014.07.007","article-title":"Accuracy, sensitivity and robustness of five different methods for the estimation of gait temporal parameters using a single inertial sensor mounted on the lower trunk","volume":"40","author":"Trojaniello","year":"2014","journal-title":"Gait Posture"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Nguyen, M.D., Mun, K.R., Jung, D., Han, J., Park, M., Kim, J., and Kim, J. (2020, January 4\u20136). IMU-based Spectrogram Approach with Deep Convolutional Neural Networks for Gait Classification. Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA.","DOI":"10.1109\/ICCE46568.2020.9042999"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1704","DOI":"10.1108\/IMDS-03-2015-0087","article-title":"An empirical study of wearable technology acceptance in healthcare","volume":"115","author":"Wang","year":"2015","journal-title":"Ind. Manag. Data Syst."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"e5350","DOI":"10.7717\/peerj.5350","article-title":"Perceived user preferences and usability evaluation of mainstream wearable devices for health monitoring","volume":"6","author":"Jia","year":"2018","journal-title":"PeerJ"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"e173","DOI":"10.2196\/mhealth.8211","article-title":"User acceptance of wrist-worn activity trackers among community-dwelling older adults: Mixed method study","volume":"5","author":"Puri","year":"2017","journal-title":"JMIR Mhealth Uhealth"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"e15704","DOI":"10.2196\/15704","article-title":"Comparing the Usability and Acceptability of Wearable Sensors Among Older Irish Adults in a Real-World Context: Observational Study","volume":"8","author":"Keogh","year":"2020","journal-title":"JMIR Mhealth Uhealth"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"e35","DOI":"10.2196\/mhealth.5120","article-title":"Older adults\u2019 experiences using a commercially available monitor to self-track their physical activity","volume":"4","author":"McMahon","year":"2016","journal-title":"JMIR Mhealth Uhealth"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1205","DOI":"10.1183\/09031936.00134312","article-title":"Validity of physical activity monitors during daily life in patients with COPD","volume":"42","author":"Rabinovich","year":"2013","journal-title":"Eur. Respir. J."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"e14","DOI":"10.2196\/ijmr.3056","article-title":"Validity and usability of low-cost accelerometers for internet-based self-monitoring of physical activity in patients with chronic obstructive pulmonary disease","volume":"3","author":"Vooijs","year":"2014","journal-title":"Interact. J. Med Res."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"e7","DOI":"10.2196\/mhealth.4225","article-title":"Acceptance of commercially available wearable activity trackers among adults aged over 50 and with chronic illness: A mixed-methods evaluation","volume":"4","author":"Mercer","year":"2016","journal-title":"JMIR Mhealth Uhealth"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"S489","DOI":"10.1097\/00005768-200009001-00008","article-title":"A comparative evaluation of three accelerometry-based physical activity monitors","volume":"32","author":"Welk","year":"2000","journal-title":"Med. Sci. Sports Exerc."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1080\/02693799108927858","article-title":"Integrating multi-criteria evaluation with geographical information systems","volume":"5","author":"Carver","year":"1991","journal-title":"Int. J. Geogr. Inf. Syst."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"319","DOI":"10.2307\/249008","article-title":"Perceived usefulness, perceived ease of use, and user acceptance of information technology","volume":"13","author":"Davis","year":"1989","journal-title":"MIS Q."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1765","DOI":"10.1109\/JBHI.2018.2865218","article-title":"IMU-Based Classification of Parkinson\u2019s Disease From Gait: A Sensitivity Analysis on Sensor Location and Feature Selection","volume":"22","author":"Caramia","year":"2018","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1521","DOI":"10.1109\/JBHI.2016.2608720","article-title":"Toward pervasive gait analysis with wearable sensors: A systematic review","volume":"20","author":"Chen","year":"2016","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1251","DOI":"10.1007\/s11517-010-0692-0","article-title":"An adaptive gyroscope-based algorithm for temporal gait analysis","volume":"48","author":"Greene","year":"2010","journal-title":"Med. Biol. Eng. Comput."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Awais, M., Palmerini, L., and Chiari, L. (2016, January 7\u20139). Physical activity classification using body-worn inertial sensors in a multi-sensor setup. Proceedings of the 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), Bologna, Italy.","DOI":"10.1109\/RTSI.2016.7740565"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1186\/1743-0003-10-91","article-title":"Review of fall risk assessment in geriatric populations using inertial sensors","volume":"10","author":"Howcroft","year":"2013","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Summa, A., Vannozzi, G., Bergamini, E., Iosa, M., Morelli, D., and Cappozzo, A. (2016). Multilevel upper body movement control during gait in children with cerebral palsy. PLoS ONE, 11.","DOI":"10.1371\/journal.pone.0151792"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Zhou, L., Fischer, E., Tunca, C., Brahms, C.M., Ersoy, C., Granacher, U., and Arnrich, B. (2020). How We Found Our IMU: Guidelines to IMU Selection and a Comparison of Seven IMUs for Pervasive Healthcare Applications. Sensors, 20.","DOI":"10.3390\/s20154090"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1159\/000509725","article-title":"Digital Measures That Matter to Patients: A Framework to Guide the Selection and Development of Digital Measures of Health","volume":"4","author":"Manta","year":"2020","journal-title":"Digit. Biomark."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/22\/6509\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:33:24Z","timestamp":1760178804000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/22\/6509"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,14]]},"references-count":51,"journal-issue":{"issue":"22","published-online":{"date-parts":[[2020,11]]}},"alternative-id":["s20226509"],"URL":"https:\/\/doi.org\/10.3390\/s20226509","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11,14]]}}}