Näytä suppeat kuvailutiedot

dc.contributor.authorCronin, Neil
dc.contributor.authorLehtiö, Ari
dc.contributor.authorTalaskivi, Jussi
dc.contributor.editorSärestöniemi, Mariella
dc.contributor.editorKeikhosrokiani, Pantea
dc.contributor.editorSingh, Daljeet
dc.contributor.editorHarjula, Erkki
dc.contributor.editorTiulpin, Aleksei
dc.contributor.editorJansson, Miia
dc.contributor.editorIsomursu, Minna
dc.contributor.editorvan Gils, Mark
dc.contributor.editorSaarakkala, Simo
dc.contributor.editorReponen, Jarmo
dc.date.accessioned2024-05-23T11:52:34Z
dc.date.available2024-05-23T11:52:34Z
dc.date.issued2024
dc.identifier.citationCronin, N., Lehtiö, A., & Talaskivi, J. (2024). Research for JYU : An AI-Driven, Fully Remote Mobile Application for Functional Exercise Testing. In M. Särestöniemi, P. Keikhosrokiani, D. Singh, E. Harjula, A. Tiulpin, M. Jansson, M. Isomursu, M. van Gils, S. Saarakkala, & J. Reponen (Eds.), <i>Digital Health and Wireless Solutions : First Nordic Conference​, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part I</i> (2083, pp. 279-287). Springer. Communications in Computer and Information Science. <a href="https://doi.org/10.1007/978-3-031-59091-7_18" target="_blank">https://doi.org/10.1007/978-3-031-59091-7_18</a>
dc.identifier.otherCONVID_213546109
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/95125
dc.description.abstractAs people live longer, the incidence and severity of health problems increases, placing strain on healthcare systems. There is an urgent need for resource-wise approaches to healthcare. We present a system built using open-source tools that allows health and functional capacity data to be collected remotely. The app records performance on functional tests using the phone’s built-in camera and provides users with immediate feedback. Pose estimation is used to detect the user in the video. The x, y coordinates of key body landmarks are then used to compute further metrics such as joint angles and repetition durations. In a proof-of-concept study, we collected data from 13 patients who had recently undergone knee ligament or knee replacement surgery. Patients performed the sit-to-stand test twice, with an average difference in test duration of 1.12 s (range: 1.16–3.2 s). Y-coordinate locations allowed us to automatically identify repetition start and end times, while x, y coordinates were used to compute joint angles, a common rehabilitation outcome variable. Mean difference in repetition duration was 0.1 s (range: −0.4–0.4 s) between trials 1 and 2. Bland-Altman plots confirmed general test-retest consistency within participants. We present a mobile app that enables functional tests to be performed remotely and without supervision. We also demonstrate real-world feasibility, including the ability to automate the entire process, from testing to analysis and the provision of real-time feedback. This approach is scalable, and could form part of national health strategies, allowing healthcare providers to minimise the need for in-person appointments whilst yielding cost savings.en
dc.format.extent433
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofDigital Health and Wireless Solutions : First Nordic Conference​, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part I
dc.relation.ispartofseriesCommunications in Computer and Information Science
dc.rightsCC BY 4.0
dc.subject.othercomputer vision
dc.subject.otherremote rehabilitation
dc.subject.othermobile health app
dc.titleResearch for JYU : An AI-Driven, Fully Remote Mobile Application for Functional Exercise Testing
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-202405233889
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosYliopistopalvelutfi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.contributor.laitosUniversity Servicesen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.relation.isbn978-3-031-59090-0
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange279-287
dc.relation.issn1865-0929
dc.relation.volume2083
dc.type.versionpublishedVersion
dc.rights.copyright© 2024 the Authors
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceNordic Conference on Digital Health and Wireless Solutions​
dc.subject.ysokuntoutus
dc.subject.ysoetäkäyttö
dc.subject.ysokonenäkö
dc.subject.ysomobiilisovellukset
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p3320
jyx.subject.urihttp://www.yso.fi/onto/yso/p20557
jyx.subject.urihttp://www.yso.fi/onto/yso/p2618
jyx.subject.urihttp://www.yso.fi/onto/yso/p27414
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1007/978-3-031-59091-7_18
dc.type.okmA4


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