Prediction of setup times for an advanced upper limb functional electrical stimulation system

Smith, C, Kenney, LPJ ORCID: https://orcid.org/0000-0003-2164-3892, Howard, D, Waring, K, Sun, M ORCID: https://orcid.org/0000-0003-1514-1490, Luckie, HM, Hardiker, NR and Cotterill, S 2018, 'Prediction of setup times for an advanced upper limb functional electrical stimulation system' , Journal of Rehabilitation and Assistive Technologies Engineering, 5 .

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Abstract

Introduction
Rehabilitation devices take time to don, and longer or unpredictable setup time impacts on usage. This paper reports on the development of a model to predict setup time for upper limb functional electrical stimulation.

Methods
Participants’ level of impairment (Fugl Meyer-Upper Extremity Scale), function (Action Research Arm Test) and mental status (Mini Mental Scale) were measured. Setup times for each stage of the setup process and total setup times were recorded. A predictive model of setup time was devised using upper limb impairment and task complexity.

Results
Six participants with stroke were recruited, mean age 60 (±17) years and mean time since stroke 9.8 (±9.6) years. Mean Fugl Meyer-Upper Extremity score was 31.1 (±6), Action Research Arm Test 10.4 (±7.9) and Mini Mental Scale 26.1 (±2.7). Linear regression analysis showed that upper limb impairment and task complexity most effectively predicted setup time (51% as compared with 39%) (F(2,21) = 12.782, adjusted R2 = 0.506; p < .05).

Conclusions
A model to predict setup time based on upper limb impairment and task complexity accounted for 51% of the variation in setup time. Further studies are required to test the model in real-world settings and to identify other contributing factors.

Item Type: Article
Schools: Schools > School of Health and Society > Centre for Health Sciences Research
Schools > School of Computing, Science and Engineering
Journal or Publication Title: Journal of Rehabilitation and Assistive Technologies Engineering
Publisher: SAGE
ISSN: 2055-6683
Related URLs:
Funders: National Institute for Health Research (NIHR)
Depositing User: Professor Laurence Kenney
Date Deposited: 23 Nov 2018 10:00
Last Modified: 13 May 2019 13:22
URI: http://usir.salford.ac.uk/id/eprint/49015

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