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dc.contributor.authorDavies, Richard John
dc.contributor.authorParker, Jack
dc.contributor.authorMcCullagh, Paul
dc.contributor.authorZheng, Huiru
dc.contributor.authorNugent, Chris
dc.contributor.authorBlack, Norman David
dc.contributor.authorMawson, Susan
dc.date.accessioned2020-07-13T13:49:20Z
dc.date.available2020-07-13T13:49:20Z
dc.date.issued2016-11-08
dc.identifier.citationDavies, R.J., Parker, J., McCullagh, P., Zheng, H., Nugent, C., Black, N.D. and Mawson, S., (2016). 'A personalized self-management rehabilitation system for stroke survivors: a quantitative gait analysis using a smart insole'. JMIR rehabilitation and assistive technologies, 3(2), pp. 1-13.en_US
dc.identifier.doi10.2196/rehab.5449
dc.identifier.urihttp://hdl.handle.net/10545/624993
dc.description.abstractIn the United Kingdom, stroke is the single largest cause of adult disability and results in a cost to the economy of £8.9 billion per annum. Service needs are currently not being met; therefore, initiatives that focus on patient-centered care that promote long-term self-management for chronic conditions should be at the forefront of service redesign. The use of innovative technologies and the ability to apply these effectively to promote behavior change are paramount in meeting the current challenges. Our objective was to gain a deeper insight into the impact of innovative technologies in support of home-based, self-managed rehabilitation for stroke survivors. An intervention of daily walks can assist with improving lower limb motor function, and this can be measured by using technology. This paper focuses on assessing the usage of self-management technologies on poststroke survivors while undergoing rehabilitation at home. A realist evaluation of a personalized self-management rehabilitation system was undertaken in the homes of stroke survivors (N=5) over a period of approximately two months. Context, mechanisms, and outcomes were developed and explored using theories relating to motor recovery. Participants were encouraged to self-manage their daily walking activity; this was achieved through goal setting and motivational feedback. Gait data were collected and analyzed to produce metrics such as speed, heel strikes, and symmetry. This was achieved using a “smart insole” to facilitate measurement of walking activities in a free-living, nonrestrictive environment. Initial findings indicated that 4 out of 5 participants performed better during the second half of the evaluation. Performance increase was evident through improved heel strikes on participants’ affected limb. Additionally, increase in performance in relation to speed was also evident for all 5 participants. A common strategy emerged across all but one participant as symmetry performance was sacrificed in favor of improved heel strikes. This paper evaluates compliance and intensity of use. Our findings suggested that 4 out of the 5 participants improved their ability to heel strike on their affected limb. All participants showed improvements in their speed of gait measured in steps per minute with an average increase of 9.8% during the rehabilitation program. Performance in relation to symmetry showed an 8.5% average decline across participants, although 1 participant improved by 4%. Context, mechanism, and outcomes indicated that dual motor learning and compensatory strategies were deployed by the participants.en_US
dc.description.sponsorshipN/Aen_US
dc.language.isoenen_US
dc.publisherJMIR Publications Inc.en_US
dc.relation.urlhttps://rehab.jmir.org/2016/2/e11/en_US
dc.relation.urlhttp://eprints.whiterose.ac.uk/119004/en_US
dc.subjectambulatory monitoring; gait; rehabilitation; self-management; smart insole; strokeen_US
dc.titleA personalized self-management rehabilitation system for stroke survivors: A quantitative gait analysis using a smart insoleen_US
dc.typeArticleen_US
dc.identifier.eissn2369-2529
dc.contributor.departmentUlster University, Belfasten_US
dc.contributor.departmentUniversity of Sheffielden_US
dc.identifier.journalJMIR Rehabilitation and Assistive Technologiesen_US
dc.source.journaltitleJMIR Rehabilitation and Assistive Technologies
dc.source.volume3
dc.source.issue2
dc.source.beginpagee11
dcterms.dateAccepted2016
dc.author.detail787041en_US


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