Evidence map›Paper›PMID 36905631›Full record

ArticleDisability and rehabilitation. Assistive technology2024

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

A J Langerak, G R H Regterschot, R W Selles, C G M Meskers, M Evers, G M Ribbers, B J F van Beijnum, J B J Bussmann

Abstract read
In one paragraph

Article in Disability and rehabilitation. Assistive technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. A Systematic Scoping Review of Poststroke Engagement in Physical Activity.Archives of rehabilitation research and clinical translation · 2025
    Review
  5. Review
  6. Review
  7. Review
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

A J LangerakDepartment of Rehabilitation Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-7724-4439
G R H RegterschotDepartment of Rehabilitation Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-6142-7716
R W SellesDepartment of Rehabilitation Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-2432-6756
C G M MeskersDepartment of Rehabilitation Medicine, Amsterdam Neuroscience and Amsterdam Movement Sciences, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.ORCID 0000-0002-5056-5611
M EversRijndam Rehabilitation, Rotterdam, The Netherlands.
G M RibbersDepartment of Rehabilitation Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-6114-349X
B J F van BeijnumDepartment of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands.ORCID 0000-0002-9673-752X
J B J BussmannDepartment of Rehabilitation Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-7496-5636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTelerehabilitation 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.

methodsWe 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".

resultsWe 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.

conclusionThis 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.

Indexed as

Stroke RehabilitationTelerehabilitationUpper ExtremityWearable Electronic DevicesExercise TherapyHome Care ServicesHumanshome-basedrehabilitationrequirementsStrokeupper extremitywearables

Identifiers

PMID36905631
PMCPMC11073044

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.