{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T09:59:16Z","timestamp":1743069556020,"version":"3.40.3"},"publisher-location":"Cham","reference-count":38,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031345852"},{"type":"electronic","value":"9783031345869"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-34586-9_7","type":"book-chapter","created":{"date-parts":[[2023,6,10]],"date-time":"2023-06-10T03:27:04Z","timestamp":1686367624000},"page":"93-103","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An IoT-Based System for\u00a0the\u00a0Study of\u00a0Neuropathic Pain in\u00a0Spinal Cord Injury"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9203-1124","authenticated-orcid":false,"given":"Dario","family":"Salvi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7102-083X","authenticated-orcid":false,"given":"Gent","family":"Ymeri","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7871-6207","authenticated-orcid":false,"given":"Daniel","family":"Jimeno","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2534-5369","authenticated-orcid":false,"given":"Vanesa","family":"Soto-Le\u00f3n","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1318-4182","authenticated-orcid":false,"given":"Yolanda","family":"P\u00e9rez-Borrego","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4261-281X","authenticated-orcid":false,"given":"Carl Magnus","family":"Olsson","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1280-5087","authenticated-orcid":false,"given":"Carmen","family":"Carrasco-Lopez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,11]]},"reference":[{"key":"7_CR1","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1007\/978-3-319-43133-8_145","volume-title":"Pain Medicine","author":"CR Abrecht","year":"2017","unstructured":"Abrecht, C.R., Nedeljkovic, S.S.: Neuropathic pain. In: Yong, R., Nguyen, M., Nelson, E., Urman, R. (eds.) Pain Medicine, pp. 541\u2013543. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-43133-8_145"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Anwar, D., Garg, P., Naik, V., Gupta, A., Kumar, A.: Use of portable EEG sensors to detect meditation. In: 2018 10th International Conference on Communication Systems & Networks (COMSNETS), pp. 705\u2013710. IEEE (2018)","DOI":"10.1109\/COMSNETS.2018.8328299"},{"issue":"5","key":"7_CR3","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1016\/S1474-4422(18)30071-1","volume":"17","author":"N Attal","year":"2018","unstructured":"Attal, N., Bouhassira, D., Baron, R.: Diagnosis and assessment of neuropathic pain through questionnaires. Lancet Neurol. 17(5), 456\u2013466 (2018)","journal-title":"Lancet Neurol."},{"issue":"5","key":"7_CR4","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1016\/j.ejpain.2006.09.003","volume":"11","author":"RJ van den Berg-Emons","year":"2007","unstructured":"van den Berg-Emons, R.J., Schasfoort, F.C., de Vos, L.A., Bussmann, J.B., Stam, H.J.: Impact of chronic pain on everyday physical activity. Eur. J. Pain 11(5), 587\u2013593 (2007)","journal-title":"Eur. J. Pain"},{"issue":"5","key":"7_CR5","first-page":"706","volume":"10","author":"N Crichton","year":"2001","unstructured":"Crichton, N.: Visual analogue scale (VAS). J. Clin. Nurs. 10(5), 706\u20136 (2001)","journal-title":"J. Clin. Nurs."},{"issue":"3","key":"7_CR6","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1111\/j.1468-1331.2004.00791.x","volume":"11","author":"G Cruccu","year":"2004","unstructured":"Cruccu, G., et al.: EFNS guidelines on neuropathic pain assessment. Eur. J. Neurol. 11(3), 153\u2013162 (2004)","journal-title":"Eur. J. Neurol."},{"issue":"1","key":"7_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-022-10071-9","volume":"12","author":"V De Pascalis","year":"2022","unstructured":"De Pascalis, V., Vecchio, A.: The influence of EEG oscillations, heart rate variability changes, and personality on self-pain and empathy for pain under placebo analgesia. Sci. Rep. 12(1), 1\u201318 (2022)","journal-title":"Sci. Rep."},{"issue":"2","key":"7_CR8","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/S1474-4422(14)70251-0","volume":"14","author":"NB Finnerup","year":"2015","unstructured":"Finnerup, N.B., et al.: Pharmacotherapy for neuropathic pain in adults: a systematic review and meta-analysis. Lancet Neurol. 14(2), 162\u2013173 (2015)","journal-title":"Lancet Neurol."},{"issue":"2","key":"7_CR9","doi-asserted-by":"publisher","first-page":"153","DOI":"10.3390\/brainsci12020153","volume":"12","author":"G Forte","year":"2022","unstructured":"Forte, G., Troisi, G., Pazzaglia, M., Pascalis, V.D., Casagrande, M.: Heart rate variability and pain: a systematic review. Brain Sci. 12(2), 153 (2022)","journal-title":"Brain Sci."},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Haanp\u00e4\u00e4, M., et al.: Neupsig guidelines on neuropathic pain assessment. PAIN\u00ae 152(1), 14\u201327 (2011)","DOI":"10.1016\/j.pain.2010.07.031"},{"key":"7_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1007\/978-3-319-20248-8_19","volume-title":"Multiple Classifier Systems","author":"M K\u00e4chele","year":"2015","unstructured":"K\u00e4chele, M., Werner, P., Al-Hamadi, A., Palm, G., Walter, S., Schwenker, F.: Bio-visual fusion for person-independent recognition of pain intensity. In: Schwenker, F., Roli, F., Kittler, J. (eds.) MCS 2015. LNCS, vol. 9132, pp. 220\u2013230. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-20248-8_19"},{"key":"7_CR12","doi-asserted-by":"publisher","first-page":"495","DOI":"10.3389\/fphys.2017.00495","volume":"8","author":"J Karri","year":"2017","unstructured":"Karri, J., Zhang, L., Li, S., Chen, Y.T., Stampas, A., Li, S.: Heart rate variability: a novel modality for diagnosing neuropathic pain after spinal cord injury. Front. Physiol. 8, 495 (2017)","journal-title":"Front. Physiol."},{"issue":"3","key":"7_CR13","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1002\/j.1532-2149.2013.00379.x","volume":"18","author":"J Koenig","year":"2014","unstructured":"Koenig, J., Jarczok, M., Ellis, R., Hillecke, T., Thayer, J.F.: Heart rate variability and experimentally induced pain in healthy adults: a systematic review. Eur. J. Pain 18(3), 301\u2013314 (2014)","journal-title":"Eur. J. Pain"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Loggia, M.L., Juneau, M., Bushnell, M.C.: Autonomic responses to heat pain: heart rate, skin conductance, and their relation to verbal ratings and stimulus intensity. PAIN\u00ae 152(3), 592\u2013598 (2011)","DOI":"10.1016\/j.pain.2010.11.032"},{"issue":"12","key":"7_CR15","doi-asserted-by":"publisher","first-page":"2681","DOI":"10.1093\/jamia\/ocab216","volume":"28","author":"R Martin-Payo","year":"2021","unstructured":"Martin-Payo, R., Carrasco-Santos, S., Cuesta, M., Stoyan, S., Gonzalez-Mendez, X., Fernandez-Alvarez, M.D.M.: Spanish adaptation and validation of the user version of the mobile application rating scale (uMARS). J. Am. Med. Inform. Assoc. 28(12), 2681\u20132686 (2021)","journal-title":"J. Am. Med. Inform. Assoc."},{"issue":"7","key":"7_CR16","doi-asserted-by":"publisher","first-page":"570","DOI":"10.1111\/j.1533-2500.2012.00534.x","volume":"12","author":"DD McGeary","year":"2012","unstructured":"McGeary, D.D., McGeary, C.A., Gatchel, R.J.: A comprehensive review of telehealth for pain management: where we are and the way ahead. Pain Pract. 12(7), 570\u2013577 (2012)","journal-title":"Pain Pract."},{"key":"7_CR17","doi-asserted-by":"crossref","unstructured":"Mohamed, A.H.H., Tawfik, H., Al-Jumeily, D., Norton, L.: MoHTAM: a technology acceptance model for mobile health applications. In: 2011 Developments in E-systems Engineering, pp. 13\u201318. IEEE (2011)","DOI":"10.1109\/DeSE.2011.79"},{"issue":"1","key":"7_CR18","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/0304-3959(90)90052-F","volume":"43","author":"A M\u00f6ltner","year":"1990","unstructured":"M\u00f6ltner, A., H\u00f6lzl, R., Strian, F.: Heart rate changes as an autonomic component of the pain response. Pain 43(1), 81\u201389 (1990)","journal-title":"Pain"},{"key":"7_CR19","doi-asserted-by":"crossref","unstructured":"Mussigmann, T., Bardel, B., Lefaucheur, J.P.: Resting-state electroencephalography (EEG) biomarkers of chronic neuropathic pain. a systematic review. NeuroImage 119351 (2022)","DOI":"10.1016\/j.neuroimage.2022.119351"},{"issue":"12","key":"7_CR20","doi-asserted-by":"publisher","first-page":"e650","DOI":"10.1016\/S2589-7500(20)30246-6","volume":"2","author":"A Natarajan","year":"2020","unstructured":"Natarajan, A., Pantelopoulos, A., Emir-Farinas, H., Natarajan, P.: Heart rate variability with photoplethysmography in 8 million individuals: a cross-sectional study. Lancet Digit. Health 2(12), e650\u2013e657 (2020)","journal-title":"Lancet Digit. Health"},{"key":"7_CR21","doi-asserted-by":"crossref","unstructured":"Prada, E.J.A.: The internet of things (IoT) in pain assessment and management: an overview. Inform. Med. Unlock. 18, 100298 (2020)","DOI":"10.1016\/j.imu.2020.100298"},{"key":"7_CR22","doi-asserted-by":"crossref","unstructured":"Rajesh, M., Muthu, J.S., Suseela, G.: iPainRelief-a pain assessment and management app for a smart phone implementing sensors and soft computing tools. In: 2013 International Conference on Information Communication and Embedded Systems (ICICES), pp. 434\u2013441. IEEE (2013)","DOI":"10.1109\/ICICES.2013.6508301"},{"issue":"8","key":"7_CR23","doi-asserted-by":"publisher","first-page":"1783","DOI":"10.1097\/j.pain.0000000000000582","volume":"157","author":"S Rost","year":"2016","unstructured":"Rost, S., Van Ryckeghem, D.M., Koval, P., S\u00fctterlin, S., V\u00f6gele, C., Crombez, G.: Affective instability in patients with chronic pain: a diary approach. Pain 157(8), 1783\u20131790 (2016)","journal-title":"Pain"},{"key":"7_CR24","doi-asserted-by":"crossref","unstructured":"Salvi, D., Lee, J., Velardo, C., Goburdhun, R.A., Tarassenko, L.: Mobistudy: an open mobile-health platform for clinical research. In: 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), pp. 918\u2013921. IEEE (2019)","DOI":"10.1109\/BIBE.2019.00172"},{"key":"7_CR25","doi-asserted-by":"crossref","unstructured":"Salvi, D., Olsson, C.M., Ymeri, G., Carrasco-Lopez, C., Tsang, K.C., Shah, S.A.: Mobistudy: mobile-based, platform-independent, multi-dimensional data collection for clinical studies. In: 11th International Conference on the Internet of Things, pp. 219\u2013222 (2021)","DOI":"10.1145\/3494322.3494363"},{"key":"7_CR26","unstructured":"Samandari, R.: Integration of bluetooth sensors in a windows-based research platform. Bachelor\u2019s thesis, Malm\u00f6 University (2021)"},{"issue":"3","key":"7_CR27","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/S0304-3959(02)00452-9","volume":"103","author":"PJ Siddall","year":"2003","unstructured":"Siddall, P.J., McClelland, J.M., Rutkowski, S.B., Cousins, M.J.: A longitudinal study of the prevalence and characteristics of pain in the first 5 years following spinal cord injury. Pain 103(3), 249\u2013257 (2003)","journal-title":"Pain"},{"issue":"1","key":"7_CR28","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1191\/0269215502cr463oa","volume":"16","author":"C Spenkelink","year":"2002","unstructured":"Spenkelink, C., Hutten, M.M., Hermens, H., Greitemann, B.O.: Assessment of activities of daily living with an ambulatory monitoring system: a comparative study in patients with chronic low back pain and nonsymptomatic controls. Clin. Rehabil. 16(1), 16\u201326 (2002)","journal-title":"Clin. Rehabil."},{"issue":"4","key":"7_CR29","doi-asserted-by":"publisher","first-page":"488","DOI":"10.1097\/AAP.0000000000000621","volume":"42","author":"LV Sundararaman","year":"2017","unstructured":"Sundararaman, L.V., Edwards, R.R., Ross, E.L., Jamison, R.N.: Integration of mobile health technology in the treatment of chronic pain: a critical review. Regional Anesth. Pain Med. 42(4), 488\u2013498 (2017)","journal-title":"Regional Anesth. Pain Med."},{"key":"7_CR30","doi-asserted-by":"crossref","unstructured":"Thurnheer, S.E., Gravestock, I., Pichierri, G., Steurer, J., Burgstaller, J.M.: Benefits of mobile apps in pain management: systematic review. JMIR Mhealth Uhealth 6(10), e11231 (2018)","DOI":"10.2196\/11231"},{"issue":"1","key":"7_CR31","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1097\/j.pain.0000000000000360","volume":"157","author":"LM Tracy","year":"2016","unstructured":"Tracy, L.M., Ioannou, L., Baker, K.S., Gibson, S.J., Georgiou-Karistianis, N., Giummarra, M.J.: Meta-analytic evidence for decreased heart rate variability in chronic pain implicating parasympathetic nervous system dysregulation. Pain 157(1), 7\u201329 (2016)","journal-title":"Pain"},{"issue":"1","key":"7_CR32","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1002\/ejp.522","volume":"19","author":"S Van Gorp","year":"2015","unstructured":"Van Gorp, S., Kessels, A., Joosten, E., Van Kleef, M., Patijn, J.: Pain prevalence and its determinants after spinal cord injury: a systematic review. Eur. J. Pain 19(1), 5\u201314 (2015)","journal-title":"Eur. J. Pain"},{"issue":"6","key":"7_CR33","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1016\/j.ejpain.2008.07.005","volume":"13","author":"M Van Weering","year":"2009","unstructured":"Van Weering, M., Vollenbroek-Hutten, M., T\u00f6nis, T., Hermens, H.: Daily physical activities in chronic lower back pain patients assessed with accelerometry. Eur. J. Pain 13(6), 649\u2013654 (2009)","journal-title":"Eur. J. Pain"},{"key":"7_CR34","doi-asserted-by":"crossref","unstructured":"Vanneste, S., De Ridder, D.: Chronic pain as a brain imbalance between pain input and pain suppression. Brain Commun. 3(1), fcab014 (2021)","DOI":"10.1093\/braincomms\/fcab014"},{"issue":"8","key":"7_CR35","doi-asserted-by":"publisher","first-page":"1605","DOI":"10.1016\/j.clinph.2018.04.750","volume":"129","author":"A Vuckovic","year":"2018","unstructured":"Vuckovic, A., Gallardo, V.J.F., Jarjees, M., Fraser, M., Purcell, M.: Prediction of central neuropathic pain in spinal cord injury based on EEG classifier. Clin. Neurophysiol. 129(8), 1605\u20131617 (2018)","journal-title":"Clin. Neurophysiol."},{"issue":"3","key":"7_CR36","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/j.pcad.2012.09.001","volume":"55","author":"B Xhyheri","year":"2012","unstructured":"Xhyheri, B., Manfrini, O., Mazzolini, M., Pizzi, C., Bugiardini, R.: Heart rate variability today. Prog. Cardiovasc. Dis. 55(3), 321\u2013331 (2012)","journal-title":"Prog. Cardiovasc. Dis."},{"key":"7_CR37","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1016\/j.chb.2017.12.037","volume":"81","author":"J Xu","year":"2018","unstructured":"Xu, J., Zhong, B.: Review on portable EEG technology in educational research. Comput. Hum. Behav. 81, 340\u2013349 (2018)","journal-title":"Comput. Hum. Behav."},{"issue":"6","key":"7_CR38","doi-asserted-by":"publisher","first-page":"1711","DOI":"10.1109\/JBHI.2017.2776351","volume":"22","author":"G Yang","year":"2017","unstructured":"Yang, G., et al.: IoT-based remote pain monitoring system: from device to cloud platform. IEEE J. Biomed. Health Inform. 22(6), 1711\u20131719 (2017)","journal-title":"IEEE J. Biomed. Health Inform."}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Pervasive Computing Technologies for Healthcare"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-34586-9_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,10]],"date-time":"2023-06-10T03:31:23Z","timestamp":1686367883000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-34586-9_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031345852","9783031345869"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-34586-9_7","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"11 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PH","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pervasive Computing Technologies for Healthcare","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thessaloniki","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ph2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/pervasivehealth.eai-conferences.org\/2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy Plus","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"120","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"45","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}