Electromyogram (EMG) Signal Processing Analysis for Clinical Rehabilitation Application
نویسندگان
چکیده
منابع مشابه
Adaptive signal processing of surface electromyogram signals
Electromyography is the study of muscle function through the electrical signals from the muscles. In surface electromyography the electrical signal is detected on the skin. The signal arises from ion exchanges across the muscle fibres’ membranes. The ion exchange in a motor unit, which is the smallest unit of excitation, produces a waveform that is called an action potential (AP). When a sustai...
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Electromyography signal can be used for biomedical applications. It is complicated in interpretation, so it acquires advanced methods for detection, decomposition, processing, and classification. The techniques of EMG signal analysis such as: filtering, wavelet transform, and modeling will be presented in this paper to provide efficient and effective ways of understanding the signal. A comparis...
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Background: Electromyographic (EMG) signal decomposition is the process by which an EMG signal is decomposed into its constituent motor unit potential trains (MUPTs). A major step in EMG decomposition is feature extraction in which each detected motor unit potential (MUP) is represented by a feature vector. As with any other pattern recognition system, feature extraction has a significant impac...
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ژورنال
عنوان ژورنال: International Journal of Simulation: Systems, Science & Technology
سال: 2017
ISSN: 1473-804X
DOI: 10.5013/ijssst.a.17.34.12