Real-Time Feature Extraction from EMG Signals

被引：0

作者：

Kilic, Ergin ^{[1
]}

Dogan, Erdi ^{[1
]}

机构：

[1] Suleyman Demirel Univ, Makine Muhendisligi Bolumu, Isparta, Turkey

来源：

2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU) | 2016年

关键词：

EMG; Signal Processing; Feature Extraction;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Electromyography (EMG) signals have been used for the control of prosthetics, orthotics and rehabilitation devices as a result of developments in hardware and software technology. A number of signal processing is required because of very low amplitude and noisy structure of the EMG signal. Feature extraction is the most important attribute of the EMG signal processing and there are many different methods proposed in the literature. In this study, a hardware and software platform is created to perform real-time feature extraction from EMG signals and an application was carried out for an EMG signal which was collected from a forearm. Thus, the structural behaviors of different feature extraction methods are shown on a real-time application.

引用

页码：113 / 116

页数：4

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