A review of the design and clinical evaluation of the ShefStim array-based functional electrical stimulation system

Kenney, LPJ ORCID: https://orcid.org/0000-0003-2164-3892, Heller, B, Barker, A, Reeves, M, Healey, J, Good, T, Cooper, G, Sha, N, Prenton, S, Liu, A ORCID: https://orcid.org/0000-0001-9416-1726 and Howard, D 2016, 'A review of the design and clinical evaluation of the ShefStim array-based functional electrical stimulation system' , Medical Engineering & Physics, 38 (11) , 1159 -1165.

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Abstract

Functional electrical stimulation has been shown to be a safe and effective means of correcting foot drop of central neurological origin. Current surface-based devices typically consist of a single channel stim- ulator, a sensor for determining gait phase and a cuff, within which is housed the anode and cathode. The cuff-mounted electrode design reduces the likelihood of large errors in electrode placement, but the user is still fully responsible for selecting the correct stimulation level each time the system is donned. Researchers have investigated different approaches to automating aspects of setup and/or use, including recent promising work based on iterative learning techniques. This paper reports on the design and clini- cal evaluation of an electrode array-based FES system for the correction of drop foot, ShefStim. The paper reviews the design process from proof of concept lab-based study, through modelling of the array geome- try and interface layer to array search algorithm development. Finally, the paper summarises two clinical studies involving patients with drop foot. The results suggest that the ShefStim system with automated setup produces results which are comparable with clinician setup of conventional systems. Further, the final study demonstrated that patients can use the system without clinical supervision. When used un- supervised, setup time was 14 min (9 min for automated search plus 5 min for donning the equipment), although this figure could be reduced significantly with relatively minor changes to the de

Item Type:	Article
Schools:	Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC) Schools > School of Health and Society > Centre for Health Sciences Research
Journal or Publication Title:	Medical Engineering & Physics
Publisher:	Elsevier
ISSN:	1350-4533
Related URLs:	Publication
Funders:	NIHR
Depositing User:	Professor Laurence Kenney
Date Deposited:	31 Oct 2016 11:23
Last Modified:	10 Oct 2018 21:26
URI:	http://usir.salford.ac.uk/id/eprint/40492

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