Feasibility of sensor technology for balance assessment in home rehabilitation settings.

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dc.contributor.authorKelly, Daniel
dc.contributor.authorEsquivel, Karla M.
dc.contributor.authorGillespie, James
dc.contributor.authorCondell, Joan
dc.contributor.authorDavies, Richard
dc.contributor.authorKarim, Shvan
dc.contributor.authorNevala, Elina
dc.contributor.authorAlamäki, Antii
dc.contributor.authorJalovaara, Juha
dc.contributor.authorBarton, John
dc.contributor.authorTedesco, Salvatore
dc.contributor.authorNordström, Anna
dc.contributor.funderEuropean Commissionen
dc.contributor.funderInterregen
dc.date.accessioned2021-11-11T14:37:08Z
dc.date.available2021-11-11T14:37:08Z
dc.date.issued2021-06-28
dc.date.updated2021-11-11T12:40:50Z
dc.description.abstractThe increased use of sensor technology has been crucial in releasing the potential for remote rehabilitation. However, it is vital that human factors, that have potential to affect real-world use, are fully considered before sensors are adopted into remote rehabilitation practice. The smart sensor devices for rehabilitation and connected health (SENDoc) project assesses the human factors associated with sensors for remote rehabilitation of elders in the Northern Periphery of Europe. This article conducts a literature review of human factors and puts forward an objective scoring system to evaluate the feasibility of balance assessment technology for adaption into remote rehabilitation settings. The main factors that must be considered are: Deployment constraints, usability, comfort and accuracy. This article shows that improving accuracy, reliability and validity is the main goal of research focusing on developing novel balance assessment technology. However, other aspects of usability related to human factors such as practicality, comfort and ease of use need further consideration by researchers to help advance the technology to a state where it can be applied in remote rehabilitation settings.en
dc.description.sponsorshipEuropean Commission (Northern Periphery and Arctic Programme 2014–2020 grant number 95)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid4438en
dc.identifier.citationKelly, D., Esquivel, K. M., Gillespie, J., Condell, J., Davies, R., Karim, S., Nevala, E., Alamäki, A., Jalovaara, J., Barton, J., Tedesco, S. and Nordström, A. (2021) ‘Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings’, Sensors. MDPI AG, 21(13), 4438, (24 pp). doi: 10.3390/s21134438.en
dc.identifier.doi10.3390/s21134438en
dc.identifier.endpage24en
dc.identifier.issn1424-8220
dc.identifier.issued13en
dc.identifier.journaltitleSensorsen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/12196
dc.identifier.volume21en
dc.language.isoenen
dc.publisherMDPIen
dc.relation.urihttps://www.mdpi.com/1424-8220/21/13/4438
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).en
dc.rights.urihttps:// creativecommons.org/licenses/by/ 4.0en
dc.subjectAccuracyen
dc.subjectBalanceen
dc.subjectClinical diagnosisen
dc.subjectRehabilitationen
dc.subjectRemote sensingen
dc.subjectSensor systemsen
dc.subjectWearable sensorsen
dc.titleFeasibility of sensor technology for balance assessment in home rehabilitation settings.en
dc.typeArticle (peer-reviewed)en
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