Literature DB >> 27639656

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

Laurence P Kenney1, Ben W Heller2, Anthony T Barker3, Mark L Reeves3, Jamie Healey3, Timothy R Good3, Glen Cooper4, Ning Sha5, Sarah Prenton6, Anmin Liu5, David Howard5.   

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 stimulator, 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 clinical 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 geometry 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 unsupervised, setup time was 14min (9min for automated search plus 5min for donning the equipment), although this figure could be reduced significantly with relatively minor changes to the design.
Copyright © 2016 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Automated setup; Drop foot; Electrode arrays; Functional electrical stimulation; System design

Mesh:

Year:  2016        PMID: 27639656     DOI: 10.1016/j.medengphy.2016.08.005

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  3 in total

1.  Myoelectrically Controlled FES to Enhance Tenodesis Grip in People With Cervical Spinal Cord Lesion: A Usability Study.

Authors:  Rune Thorsen; Davide Dalla Costa; Ettore Beghi; Maurizio Ferrarin
Journal:  Front Neurosci       Date:  2020-05-05       Impact factor: 4.677

2.  A decision support system for electrode shaping in multi-pad FES foot drop correction.

Authors:  Jovana Malešević; Suzana Dedijer Dujović; Andrej M Savić; Ljubica Konstantinović; Aleksandra Vidaković; Goran Bijelić; Nebojša Malešević; Thierry Keller
Journal:  J Neuroeng Rehabil       Date:  2017-07-03       Impact factor: 4.262

Review 3.  Advances in neuroprosthetic management of foot drop: a review.

Authors:  Javier Gil-Castillo; Fady Alnajjar; Aikaterini Koutsou; Diego Torricelli; Juan C Moreno
Journal:  J Neuroeng Rehabil       Date:  2020-03-25       Impact factor: 4.262

  3 in total

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