Literature DB >> 25193368

An automatic identification procedure to promote the use of FES-cycling training for hemiparetic patients.

Emilia Ambrosini1, Simona Ferrante2, Thomas Schauer3, Giancarlo Ferrigno2, Franco Molteni4, Alessandra Pedrocchi2.   

Abstract

Cycling induced by Functional Electrical Stimulation (FES) training currently requires a manual setting of different parameters, which is a time-consuming and scarcely repeatable procedure. We proposed an automatic procedure for setting session-specific parameters optimized for hemiparetic patients. This procedure consisted of the identification of the stimulation strategy as the angular ranges during which FES drove the motion, the comparison between the identified strategy and the physiological muscular activation strategy, and the setting of the pulse amplitude and duration of each stimulated muscle. Preliminary trials on 10 healthy volunteers helped define the procedure. Feasibility tests on 8 hemiparetic patients (5 stroke, 3 traumatic brain injury) were performed. The procedure maximized the motor output within the tolerance constraint, identified a biomimetic strategy in 6 patients, and always lasted less than 5 minutes. Its reasonable duration and automatic nature make the procedure usable at the beginning of every training session, potentially enhancing the performance of FES-cycling training.

Entities:  

Keywords:  Functional electrical stimulation; cycling; hemiparesis; rehabilitation; stimulation Parameters

Mesh:

Year:  2014        PMID: 25193368     DOI: 10.1260/2040-2295.5.3.275

Source DB:  PubMed          Journal:  J Healthc Eng        ISSN: 2040-2295            Impact factor:   2.682


  3 in total

1.  Model Predictive Control of a Feedback-Linearized Hybrid Neuroprosthetic System With a Barrier Penalty.

Authors:  Xuefeng Bao; Nicholas Kirsch; Albert Dodson; Nitin Sharma
Journal:  J Comput Nonlinear Dyn       Date:  2019-09-09

2.  OIDA: An optimal interval detection algorithm for automatized determination of stimulation patterns for FES-Cycling in individuals with SCI.

Authors:  Martin Schmoll; Ronan Le Guillou; Charles Fattal; Christine Azevedo Coste
Journal:  J Neuroeng Rehabil       Date:  2022-04-14       Impact factor: 4.262

3.  An adaptive reflexive control strategy for walking assistance system based on functional electrical stimulation.

Authors:  Hongtao Dong; Jie Hou; Zhaoxi Song; Rui Xu; Lin Meng; Dong Ming
Journal:  Front Neurosci       Date:  2022-08-24       Impact factor: 5.152

  3 in total

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