Requirements for home-based upper extremity rehabilitation using wearable motion sensors for stroke patients: a user-centred approach.

Autor:	Langerak AJ; Department of Rehabilitation Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands., Regterschot GRH; Department of Rehabilitation Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.; Department of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands., Selles RW; Department of Rehabilitation Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.; Department of Plastic and Reconstructive Surgery, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands., Meskers CGM; Department of Rehabilitation Medicine, Amsterdam Neuroscience and Amsterdam Movement Sciences, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands., Evers M; Rijndam Rehabilitation, Rotterdam, The Netherlands., Ribbers GM; Department of Rehabilitation Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands., van Beijnum BJF; Department of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands., Bussmann JBJ; Department of Rehabilitation Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.
Jazyk:	angličtina
Zdroj:	Disability and rehabilitation. Assistive technology [Disabil Rehabil Assist Technol] 2024 May; Vol. 19 (4), pp. 1392-1404. Date of Electronic Publication: 2023 Mar 11.
DOI:	10.1080/17483107.2023.2183993
Abstrakt:	Purpose: Telerehabilitation systems have the potential to enable therapists to monitor and assist stroke patients in achieving high-intensity upper extremity exercise in the home environment. We adopted an iterative user-centred approach, including multiple data sources and meetings with end-users and stakeholders to define the user requirements for home-based upper extremity rehabilitation using wearable motion sensors for subacute stroke patients. Methods: We performed a requirement analysis consisting of the following steps: 1) context & groundwork; 2) eliciting requirements; 3) modelling & analysis; 4) agreeing requirements. During these steps, a pragmatic literature search, interviews and focus groups with stroke patients, physiotherapists and occupational therapists were performed. The results were systematically analysed and prioritised into "must-haves", "should-haves", and "could-haves". Results: We formulated 33 functional requirements: eighteen must-have requirements related to blended care (2), exercise principles (7), exercise delivery (3), exercise evaluation (4), and usability (2); ten should-haves; and five could-haves. Six movement components, including twelve exercises and five combination exercises, are required. For each exercise, appropriate exercise measures were defined. Conclusion: This study provides an overview of functional requirements, required exercises, and required exercise measures for home-based upper extremity rehabilitation using wearable motion sensors for stroke patients, which can be used to develop home-based upper extremity rehabilitation interventions. Moreover, the comprehensive and systematic requirement analysis used in this study can be applied by other researchers and developers when extracting requirements for designing a system or intervention in a medical context.
Databáze:	MEDLINE
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