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

SMITH, Christine, KENNEY, Laurence, HOWARD, David, WARING, Karen, SUN, Minxgu, LUCKIE, Helen, HARDIKER, Nicholas and COTTERILL, Sarah (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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Link to published version:: https://doi.org/10.1177/2055668318802561

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) ¼ 12.782, adjusted R2 ¼ 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
Research Institute, Centre or Group: Centre for Health and Social Care Research
Departments: Health and Well-being > Department of Allied Health Professions
Identification Number: https://doi.org/10.1177/2055668318802561
Depositing User: Jill Hazard
Date Deposited: 05 Jul 2018 13:22
Last Modified: 06 Dec 2018 14:06
URI: http://shura.shu.ac.uk/id/eprint/21753

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