肌电图分析的信号处理技术研究

M. Duhan, Chanderpal Sharma, D. Bhatia
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引用次数: 7

摘要

数字信号处理(DSP)可用于肌电、脑电图、心电等生物医学信号处理应用。在生物医学仪器的帮助下,从人体获取的信号需要先进的方法对所有生物医学信号进行检测、分解、处理和分类。肌电信号具有随机性,处理后的信号难以量化和解释。本文的目的是说明各种方法的DSP肌电信号处理,以提供高效和有效的方式来理解信号及其性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of signal processing techniques for EMG analysis
Digital signal processing (DSP) can be used for biomedical signal processing applications like EMG, EEG and ECG, etc. With the help of biomedical instruments, the signal acquired from the body of human beings require advanced methodology for detection, decomposition, processing and classification of all biomedical signal. The EMG signal is stochastic in nature and it becomes difficult to quantify and interpret the processed signal. The purpose of this paper is to illustrate the various methodologies of DSP for EMG signal processing to provide efficient and effective ways of understanding the signal and its nature.
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