Adaptive Linear Energy Detector Based on Onset and Offset Electromyography Activity Detection

被引：0

作者：

Bengacemi, H. ^{[1
]}

Mesloub, A. ^{[1
]}

Ouldali, A. ^{[2
]}

Abed-Meraim, K. ^{[3
]}

机构：

[1] Ecole Mil Polytech, Lab Microonde & Radar, Palaiseau, France

[2] Univ Mostaganem, Lab Signaux & Syst, Mostaganem, Algeria

[3] Univ Orleans, Polytech Orleans, PRISME Lab, Orleans, France

来源：

2017 6TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC' 17) | 2017年

关键词：

MUSCLE-ACTIVITY; EMG SIGNALS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes a new approach for detecting onset/offset electromyography activity. The proposed approach is based on energy analysis which has been widely used in Voice Activity Detection (VAD). A performance analysis has been carried out in order to get the appropriate frame length of EMG signal to adapt within our proposed method. Synthetic and Real EMG signals are used to illustrate us the performance of our proposed method.

引用

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页码：409 / 413

页数：5

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