A Precise Muscle Activity Onset/Offset Detection via EMG Signal

被引：5

作者：

Kang, Kimoon ^{[1
]}

Rhee, Kiwon ^{[1
]}

Shin, Hyun-Chool ^{[1
]}

机构：

[1] Soongsil Univ, Dept Elect Engn, Seoul, South Korea

来源：

35TH INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN 2021) | 2021年

关键词：

EMG; muscle activity detection; muscle activation interval; EMG binarization; EMG polarization; ACTIVATION INTERVALS;

D O I：

10.1109/ICOIN50884.2021.9333969

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this study, we propose a muscle activity detection algorithm which reflects the activation state. Since muscle in outer part is related to extraction of fingers and inner part controls contraction of fingers, we use two channels of EMG from inner and outer part of wrist for muscle activity detection. By using two channels, we detect a contraction state which we defined as close state. For the muscle activity detection, binarized EMG, and polarized EMG is calculated, and detected through post-processor. For the performance evaluation, we compared the proposed algorithm to conventional method. The proposed algorithm showed 20ms lower estimate error than conventional method.

引用

页码：633 / 635

页数：3

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