Task selection for a sensor-based, wearable, upper limb training device for stroke survivors: a multi-stage approach.
Post-stroke survivors report that feedback helps to increase training motivation. A wearable system (M-MARK), comprising movement and muscle sensors and providing feedback when performing everyday tasks was developed. The objective reported here was to create an evidence-based set of upper-limb task...
| Publicado en: | Disability & Rehabilitation Vol. 45; no. 9; pp. 1480 - 1488 |
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| Autores principales: | , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
May2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=163051149&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 163051149 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09638288 B73 jtl: Disability & Rehabilitation issn: 09638288 maglogo: Y pubinfo: dt: May2023 vid: 45 iid: 9 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 163051149 156553154 163051149 163051149 10.1080/09638288.2022.2065542 163051149 ppf: 1480 ppct: 8 formats: tig: atl: Task selection for a sensor-based, wearable, upper limb training device for stroke survivors: a multi-stage approach. aug: au: Turk, Ruth Whitall, Jill Meagher, Claire Stokes, Maria Roberts, Sue Woodham, Sasha Clatworthy, Philip Burridge, Jane affil: School of Health Sciences, Faculty of Environmental Sciences, University of Southampton, Southampton, UK sug: subj: Stroke Rehabilitation Upper Extremity Task Performance and Analysis Functional Status Wearable Sensors Feedback Human Focus Groups Interviews Clinical Assessment Tools Utilization Neuropsychological Tests Purposive Sample Funding Source ab: Post-stroke survivors report that feedback helps to increase training motivation. A wearable system (M-MARK), comprising movement and muscle sensors and providing feedback when performing everyday tasks was developed. The objective reported here was to create an evidence-based set of upper-limb tasks for use with the system. Data from two focus groups with rehabilitation professionals, ten interviews with stroke survivors and a review of assessment tests were synthesized. In a two-stage process, suggested tasks were screened to exclude non-tasks and complex activities. Remaining tasks were screened for suitability and entered into a categorization matrix. Of 83 suggestions, eight non-tasks, and 42 complex activities were rejected. Of the remaining 33 tasks, 15 were rejected: five required fine motor control; eight were too complex to standardize; one because the role of hemiplegic hand was not defined and one involved water. The review of clinical assessment tests found no additional tasks. Eleven were ultimately selected for testing with M-Mark. Using a task categorization matrix, a set of training tasks was systematically identified. There was strong agreement between data from the professionals, survivors and literature. The matrix populated by tasks has potential for wider use in upper-limb stroke rehabilitation. Rehabilitation technologies that provide feedback on quantity and quality of movements can support independent home-based upper limb rehabilitation. Rehabilitation technology systems require a library of upper limb tasks at different levels for people with stroke and therapists to choose from. A user-defined and evidence-based set of upper limb tasks for use within a wearable sensor device system have been developed. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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