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

Abstract

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… (More)
DOI: 10.1109/LSP.2014.2313880

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