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

@article{Zivanovic2014TimeVaryingMS,
  title={Time-Varying Multicomponent Signal Modeling for Analysis of Surface EMG Data},
  author={Miroslav Zivanovic},
  journal={IEEE Signal Processing Letters},
  year={2014},
  volume={21},
  pages={692-696}
}
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

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