A personalized self-management rehabilitation system for stroke survivors: A quantitative gait analysis using a smart insole

Journal article


Davies, Richard John, Parker, Jack, McCullagh, Paul, Zheng, Huiru, Nugent, Chris, Black, Norman David and Mawson, Susan 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), p. e11. https://doi.org/10.2196/rehab.5449
AuthorsDavies, Richard John, Parker, Jack, McCullagh, Paul, Zheng, Huiru, Nugent, Chris, Black, Norman David and Mawson, Susan
Abstract

In 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.

Keywordsambulatory monitoring; gait; rehabilitation; self-management; smart insole; stroke
Year2016
JournalJMIR Rehabilitation and Assistive Technologies
Journal citation3 (2), p. e11
PublisherJMIR Publications Inc.
ISSN2369-2529
Digital Object Identifier (DOI)https://doi.org/10.2196/rehab.5449
Web address (URL)http://hdl.handle.net/10545/624993
hdl:10545/624993
Publication dates08 Nov 2016
Publication process dates
Deposited13 Jul 2020, 13:49
Accepted2016
ContributorsUlster University, Belfast and University of Sheffield
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