Comparison Between Parametric and Non-Parametric Approaches for Time-Varying Delay Estimation with Application to Electromyography Signals

被引：1

作者：

Gia Thien Luu ^{[1
]}

Tran Trung Duy ^{[1
]}

机构：

[1] Post & Telecommun Inst Technol, Ho Chi Minh City, Vietnam

来源：

NATURE OF COMPUTATION AND COMMUNICATION (ICTCC 2016) | 2016年 / 168卷

关键词：

Muscle Fiber Conduction Velocity; EMG; Multi-channel acquisition; Fatigue; Time-varying delay estimation; ISOMETRIC CONTRACTIONS; CONDUCTION-VELOCITY; MUSCLE;

D O I：

10.1007/978-3-319-46909-6_5

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Muscle fiber conduction velocity (MFCV) is generally measured by the estimation of the time delay between electromyography recording channels. In this paper, we compare performances of two well-known approaches: parametric and non-parametric. The results indicate that the non-parametric approach can obtain better performance when the noise is strong (SNR = 10 dB). With the low noise level, the parametric approaches become more interesting.

引用

页码：43 / 51

页数：9

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