Metrics for monitoring patients progress in a rehabilitation context: a case study based on wearable inertial sensors

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dc.contributor.authorO'Flynn, Brendan
dc.contributor.authorDagini, Nektaria
dc.contributor.authorBottone, Sonia
dc.contributor.authorUrru, Andrea
dc.contributor.authorTedesco, Salvatore
dc.contributor.funderEnterprise Irelanden
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2019-01-08T16:51:06Z
dc.date.available2019-01-08T16:51:06Z
dc.date.issued2018-10
dc.date.updated2019-01-08T16:40:26Z
dc.description.abstractInertial data can represent a rich source of clinically relevant information which can provide details on motor assessment in subjects undertaking a rehabilitation process. Indeed, in clinical and sport settings, motor assessment is generally conducted through simple subjective measures such as a visual assessment or questionnaire given by caregivers. As part of a mobile health application, wireless sensors such as inertial measurement units and associated data sets can help provide an objective and empirical measure of a patient’s progress through rehabilitation using on body sensors. In this publication, several metrics in different domains have been considered and extrapolated from the 3D accelerometer and angular rate data sets collected on an impaired subject with knee injury, via a wearable sensing system developed at the Tyndall National Institute. These data sets were collected for different activities performed across a number of sessions as the subject progressed through the rehabilitation process. Using these data sets, a novel and effective method has been investigated in order to define a single score indicator which can provide accurate quantitative analysis of the improvement of the subject throughout their rehabilitation. The indicator compares impaired and unimpaired limb motor performance. The present work proves that the defined score indicator can be taken into account by clinicians to study the overall patients’ condition and provide accurate clinical feedback as to their rehabilitative progress.en
dc.description.sponsorshipEnterprise Ireland (CF-2017-0685-P); Science Foundation Ireland (SFI), co-funded under the European Regional Development Fund (Grant Number 13/RC/2077-CONNECT and SFI-16/RC/3918-CONFIRM)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationO'Flynn, B., Dagini, N., Bottone, S., Urru, A. and Tedesco, S. (2018) 'Metrics for Monitoring Patients Progress in a Rehabilitation Context: A Case Study based on Wearable Inertial Sensors', HEALTHINFO 2018: The Third International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing, 14-18 August, Nice, France. isbn: 978-1-61208-675-0en
dc.identifier.endpage47en
dc.identifier.isbn978-1-61208-675-0
dc.identifier.issn2519-8491
dc.identifier.journaltitleHEALTHINFO 2018: The Third International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeingen
dc.identifier.startpage42en
dc.identifier.urihttps://hdl.handle.net/10468/7272
dc.language.isoenen
dc.publisherIARIAen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/en
dc.relation.urihttps://www.iaria.org/conferences2018/HEALTHINFO18.html
dc.rights© IARIA, 2018.en
dc.subjectACLen
dc.subjectIMUen
dc.subjectInertial sensorsen
dc.subjectMetricsen
dc.subjectMotor assessmenten
dc.subjectRehabilitationen
dc.subjectWearablesen
dc.titleMetrics for monitoring patients progress in a rehabilitation context: a case study based on wearable inertial sensorsen
dc.typeConference itemen
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