南方科技大学知识苑(SUSTech KC): Recognition of Human Lower Limb Motion and Muscle Fatigue Status Using a Wearable FES-sEMG System

题名	Recognition of Human Lower Limb Motion and Muscle Fatigue Status Using a Wearable FES-sEMG System
作者	Zhang, Wenbo; Bai, Ziqian; Yan, Pengfei; Liu, Hongwei; Shao, Li
通讯作者	Bai, Ziqian
发表日期	2024-04-01
DOI	10.3390/s24072377
发表期刊	SENSORS 影响因子和分区
EISSN	1424-8220
卷号	24 期号:7
摘要	Functional electrical stimulation (FES) devices are widely employed for clinical treatment, rehabilitation, and sports training. However, existing FES devices are inadequate in terms of wearability and cannot recognize a user's intention to move or muscle fatigue. These issues impede the user's ability to incorporate FES devices into their daily life. In response to these issues, this paper introduces a novel wearable FES system based on customized textile electrodes. The system is driven by surface electromyography (sEMG) movement intention. A parallel structured deep learning model based on a wearable FES device is used, which enables the identification of both the type of motion and muscle fatigue status without being affected by electrical stimulation. Five subjects took part in an experiment to test the proposed system, and the results showed that our method achieved a high level of accuracy for lower limb motion recognition and muscle fatigue status detection. The preliminary results presented here prove the effectiveness of the novel wearable FES system in terms of recognizing lower limb motions and muscle fatigue status.
关键词	functional electrical stimulation surface electromyography human motion recognition muscle fatigue status
相关链接	[来源记录]
收录类别	SCI ; EI
语种	英语
学校署名	第一 ; 通讯
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
WOS类目	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号	WOS:001200864400001
出版者	MDPI
ESI学科分类	CHEMISTRY
来源库	Web of Science
引用统计	被引频次[WOS]：6
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/788671
专题	工学院_系统设计与智能制造学院
作者单位	Southern Univ Sci & Technol, Sch Syst Design & Intelligent Mfg, Shenzhen 518055, Peoples R China
第一作者单位	系统设计与智能制造学院
通讯作者单位	系统设计与智能制造学院
第一作者的第一单位	系统设计与智能制造学院
推荐引用方式 GB/T 7714	Zhang, Wenbo,Bai, Ziqian,Yan, Pengfei,et al. Recognition of Human Lower Limb Motion and Muscle Fatigue Status Using a Wearable FES-sEMG System[J]. SENSORS,2024,24(7).
APA	Zhang, Wenbo,Bai, Ziqian,Yan, Pengfei,Liu, Hongwei,&Shao, Li.(2024).Recognition of Human Lower Limb Motion and Muscle Fatigue Status Using a Wearable FES-sEMG System.SENSORS,24(7).
MLA	Zhang, Wenbo,et al."Recognition of Human Lower Limb Motion and Muscle Fatigue Status Using a Wearable FES-sEMG System".SENSORS 24.7(2024).