A survey of lower limb rehabilitation systems and algorithms based on functional electrical stimulation

Sun, M; Wu, X; Liu, Q

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.

Citation

Sun, M., Wu, X., & Liu, Q. (2020). A survey of lower limb rehabilitation systems and algorithms based on functional electrical stimulation. Computers, Materials & Continua, 62(1), 281-292. https://doi.org/10.32604/cmc.2020.06098

• Journal Article Type: Article
• Publication Date: Jan 1, 2020
• Deposit Date: Mar 12, 2020
• Publicly Available Date: Mar 12, 2020
• Journal: Computers, Materials & Continua
• Print ISSN: 1546-2218
• Electronic ISSN: 1546-2226
• Publisher: Tech Science Press
• Volume: 62
• Issue: 1
• Pages: 281-292
• DOI: https://doi.org/10.32604/cmc.2020.06098
• Publisher URL: https://doi.org/10.32604/cmc.2020.06098
• Related Public URLs: http://www.techscience.com/journal/cmc
• Additional Information: Funders : European Union Horizon 2020;Major Program of the National Social Science Fund of China;Basic Research Programs (Natural Science Foundation) of Jiangsu Province;333 High-Level Talent Cultivation Project of Jiangsu Province;PAPD fund; Projects : Marie Sklodowska-Curie; Grant Number: 701697; Grant Number: 17ZDA092; Grant Number: BK20180794; Grant Number: BRA2018332