Research Article
Comparison Between Parametric and Non-Parametric Approaches for Time-Varying Delay Estimation with Application to Electromyography Signals
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@INPROCEEDINGS{10.1007/978-3-319-46909-6_5, author={Gia Luu and Tran Duy}, title={Comparison Between Parametric and Non-Parametric Approaches for Time-Varying Delay Estimation with Application to Electromyography Signals}, proceedings={Nature of Computation and Communication. Second International Conference, ICTCC 2016, Rach Gia, Vietnam, March 17-18, 2016, Revised Selected Papers}, proceedings_a={ICTCC}, year={2017}, month={1}, keywords={Muscle Fiber Conduction Velocity EMG Multi-channel acquisition Fatigue Time-varying delay estimation}, doi={10.1007/978-3-319-46909-6_5} }- Gia Luu
Tran Duy
Year: 2017
Comparison Between Parametric and Non-Parametric Approaches for Time-Varying Delay Estimation with Application to Electromyography Signals
ICTCC
Springer
DOI: 10.1007/978-3-319-46909-6_5
Abstract
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.
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