Tracking and identification of EMG signal dynamics from normal subjects using a novel index

C. L. Lin, T. Y. Ou, W. J. Kang, J. S. Lai, M. H. Lee, T. S. Kuo, C. T. Hu

研究成果: Article


A novel index for tracing the stability of motions of the neck and shoulders using the electromyographic (EMG) signal was investigated in this study. Surface electrodes were bilaterally located on and between the sternocleidomastoid and the upper trapezius muscles. The EMG signals obtained during 5 repetitions of 5 motions were analyzed for each subject. The cepstral coefficients, derived from autoregressive (AR) coefficients and estimated by a recursive least square algorithm, were used as the recognition features. The features are then identified using modified maximum likelihood method and the index, cross distribution of the first and the second cepstrol coefficients (C1 and C2), was plotted to verify the stability of motion. Results from 3 subjects showed that the variances of the third and fourth cepstral coefficients (C3 and C4) are larger than those of C1 and C2. This result means C1 and C2 are more significant than C3 and C4 in the computation of MMLM. Furthermore, the more separation of the C1-C2 cross distribution plot between different motion, the higher the recognition rate. The results suggested that the C1-C2 cross distribution plot of EMG signals reflect the status of different motion. Therefore, the physician and user can adjust and monitor the stability and consistence of the specific motions to attain, optimal recognition results using this novel index in normal or quadriplegics.

頁(從 - 到)292-296
期刊Biomedical Engineering - Applications, Basis and Communications
出版狀態Published - 1998 十月 25

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Bioengineering
  • Biomedical Engineering

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