Time-Varying Multicomponent Signal Modeling for Analysis of Surface EMG Data

  title={Time-Varying Multicomponent Signal Modeling for Analysis of Surface EMG Data},
  author={Miroslav Zivanovic},
  journal={IEEE Signal Processing Letters},
We present a novel approach to surface EMG data characterization by using time-varying multicomponent signal modeling. An EMG signal is described as a set of stationary non-harmonically related sinusoids (signal components) whose time-varying bandwidth is modeled by polynomials. The polynomial coefficients, estimated from a set of linear equations, capture the relationship between the instantaneous frequency and amplitude for individual signal components. It is proposed that such a compact EMG… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 23 references

SEMG analysis basing on AR model and Bayes taxonomy

  • G. Yang, S. Wang, Y. Chen
  • Appl. Mech. Mater., vol. 44-47, pp. 3355–3359…
  • 2011

Similar Papers

Loading similar papers…