Analysis of Some EMG Signals Using Multiresolution and Time-Frequency Techniques

被引：0

作者：

Matei, Radu ^{[1
,2
]}

Matei, Daniela ^{[3
]}

机构：

[1] Gheorghe Asachi Tech Univ Iasi, Fac Elect Telecommun & Informat Technol, Iasi, Romania

[2] Romanian Acad, Inst Comp Sci, Iasi Branch, Iasi, Romania

[3] Grigore T Popa Univ Med & Pharm, Fac Med Bioengn, Iasi, Romania

来源：

2020 INTERNATIONAL CONFERENCE ON E-HEALTH AND BIOENGINEERING (EHB) | 2020年

关键词：

electromyography; multiresolution; time-frequency analysis; wavelet analysis; spectrogram; CLASSIFICATION;

D O I：

暂无

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

In this paper several electro-myography signals are studied comparatively using multiresolution and time-frequency analysis. A 4-level wavelet decomposition is applied to several surface EMG signals, acquired from masseter, legs, abdominal or dorsal muscles, then a relative band energy distribution of each component is obtained. This analysis is performed comparatively using various wavelet families. Additional information can be obtained by plotting the variation in time of relative band energy distribution, which has a specific shape for a given EMG signal. A time-frequency analysis is performed as well, plotting the EMG signal spectrograms in some particular, relevant cases.

引用

页数：4

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