A Personalized Self-Management Rehabilitation System for Stroke Survivors: A Quantitative Gait Analysis Using a Smart Insole

Abstract

BackgroundIn 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.ObjectiveOur 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.MethodsA 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.ResultsInitial 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.ConclusionOur 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.

Implicações e benefícios da Smart Rehabilitation nas disfunções neurológicas: uma revisão narrativa

“…Com o advento da tecnologia, a implementação de soluções inteligentes no processo de reabilitação das mais diversas afecções neurológicas, permite o empoderamento do paciente e de seu respectivo cuidador. Além disso, essas ferramentas também possuem o potencial de reduzir a carga para os profissionais de saúde e apoiar o desenvolvimento de novas intervenções (Davies et al, 2016). Nesse sentido, diversos dispositivos podem ser utilizados para promover a facilitação e aprimoramento da marcha em indivíduos com sequelas de lesão cerebral.…”

Wearables in der Schlaganfallmedizin

“…Der intelligente Schuh liefert mit Drucksensoren Rückmeldung über die Auftrittskraft im Seitenvergleich und die Auftrittskraft der Ferse im Vergleich zu Normalwerten [61,62].…”

The Effects of Auditory Feedback Gait Training Using Smart Insole on Stroke Patients

“…The subject performs locomotion while standing on two feet, and through organic movement of the lower extremity, he can achieve an optimal gait pattern [ 13 ]. This enables for an effective rehabilitation of the lower extremity while also allowing free polyarthric movements and the use of spatiotemporal index from the footpad [ 14 ]. Attaching a micro-electronic device, with a small sensor on the insole, would enable the monitoring of daily life for a longer period of time [ 15 , 16 ].…”