Nature of Computation and Communication. Second International Conference, ICTCC 2016, Rach Gia, Vietnam, March 17-18, 2016, Revised Selected Papers

Research Article

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

  • @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
Gia Luu1,*, Tran Duy1,*
  • 1: Post and Telecommunication Institute of Technology
*Contact email: lgthien@ptithcm.edu.vn, trantrungduy@ptithcm.edu.vn

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.