A Wearable Multichannel EEG/EMG Sensor System for Corticomuscular Coupling Analysis

脑电图 肌电图 计算机科学 同步(交流) 神经生理学 神经科学 心理学 频道(广播) 计算机网络
作者
Hui Meng Chang,Ruikai Cao,Xiangyu Pan,Yixuan Sheng,Zhiyong Wang,Honghai Liu
出处
期刊:IEEE Sensors Journal [IEEE Sensors Council]
卷期号:23 (22): 27931-27940 被引量:8
标识
DOI:10.1109/jsen.2023.3320232
摘要

Corticomuscular coupling (CMC) refers to the interaction between neural activity in the cerebral cortex (especially the motor cortex) and muscle activity, is an effective method for investigating the neural mechanisms of motor control. Achieving robust CMC analysis depends significantly on the fidelity of electroencephalogram (EEG) and electromyogram (EMG) signals, as well as their precise synchronization. There is a lack of integrated EEG EMG acquisition systems with high synchronization accuracy dedicated to CMC. This article proposes a sensor system integrating a 16-channel EEG module with a 16-channel EMG module. The system provides EMG/EEG signals of comparable quality to commercially available systems, with a synchronization error within nanosecond range. An isokinetic rotation experiment of the shoulder joint was implemented with EEG and EMG signals collected simultaneously. Subsequently, CMC analysis was performed using wavelet coherence. The results indicate that the CMC between the triceps brachii (TB) and the contralateral cortex is significantly higher than the CMC between the TB and the ipsilateral cortex. The CMC between the TB and the contralateral cortex exhibits notable differences across various frequency bands during both contraction and relaxation phases. These findings are consistent with the current CMC research. The proposed system facilitate CMC related research and applications in human–machine interaction such as motor assessment in post-stroke.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
11发布了新的文献求助10
2秒前
nn完成签到,获得积分10
2秒前
2秒前
2秒前
阿宝完成签到,获得积分10
3秒前
li发布了新的文献求助10
3秒前
3秒前
3秒前
4秒前
5秒前
若菲发布了新的文献求助10
5秒前
Ryouji发布了新的文献求助10
6秒前
omega发布了新的文献求助10
7秒前
dudu发布了新的文献求助10
7秒前
石会发发布了新的文献求助10
7秒前
爆米花应助ren采纳,获得10
7秒前
彭栋发布了新的文献求助10
8秒前
Jada发布了新的文献求助50
9秒前
coke老师完成签到,获得积分10
9秒前
10秒前
小巧的寻双完成签到,获得积分10
11秒前
12秒前
aabbb发布了新的文献求助10
12秒前
小马甲应助omega采纳,获得10
12秒前
石会发完成签到,获得积分10
13秒前
脑洞疼应助ZangXy采纳,获得10
13秒前
123完成签到,获得积分10
14秒前
14秒前
光亮的正豪完成签到,获得积分10
15秒前
慕青应助Ryouji采纳,获得10
15秒前
16秒前
SciGPT应助爱科研的小导航采纳,获得10
17秒前
羞涩的傲菡完成签到,获得积分10
19秒前
甜美的雪冥完成签到,获得积分10
19秒前
CH完成签到,获得积分10
19秒前
19秒前
称心元枫发布了新的文献求助10
20秒前
ren发布了新的文献求助10
21秒前
斯文败类应助下雨找文献采纳,获得10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Periodic Report Summary 2 - AFTER (A Framework for electrical power sysTems vulnerability identification, dEfense and Restoration) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7319575
求助须知:如何正确求助?哪些是违规求助? 8935211
关于积分的说明 18941506
捐赠科研通 6978206
什么是DOI,文献DOI怎么找? 3214403
关于科研通互助平台的介绍 2382259
邀请新用户注册赠送积分活动 2193439