Open Access

ARTICLE

A Survey of Lower Limb Rehabilitation Systems and Algorithms Based on Functional Electrical Stimulation

Mingxu Sun^{1, *}, Xueyan Wu², Qi Liu^{3, *}

1 Centre for Health Sciences Research, University of Salford, The Crescent, Salford, M5 4WT, UK.
2 Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, 210044, China.
3 School of Computing, Edinburgh Napier University, 10 Colinton Road, Edinburgh EH10 5DT, UK.

* Corresponding Authors: Qi Liu. Email: ;
  Mingxun Sun. Email: .

Computers, Materials & Continua 2020, 62(1), 281-292. https://doi.org/10.32604/cmc.2020.06098

Abstract

Functional electrical stimulation is a method of repairing a dysfunctional limb in a stroke patient by using low-intensity electrical stimulation. Currently, it is widely used in smart medical treatment for limb rehabilitation in stroke patients. In this paper, the development of FES systems is sorted out and analyzed in a time order. Then, the progress of functional electrical stimulation in the field of rehabilitation is reviewed in details in two aspects, i.e., system development and algorithm progress. In the system aspect, the development of the first FES control and stimulation system, the core of the lower limb-based neuroprosthesis system and the system based on brain-computer interface are introduced. The algorithm optimization for control strategy is introduced in the algorithm. Asynchronous stimulation to prolong the function time of the lower limbs and a method to improve the robustness of knee joint modeling using neural networks. Representative applications in each of these aspects have been investigated and analyzed.

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Keywords

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