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Application of bispectrum based signal reconstruction to sEMG signal
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Date
2001
Abstract
The surface electromyogram (sEMG) conveys information about the physiological properties of muscles. Unlike the power spectrum, the bispectrum can suppress noise when characterizing non-Gaussian random signals. In this paper we esablish a bispectrum based method to estimate a motor unit action potential from a simulated sEMG signal, improving on an earlier approach which combined bispectrum and power spectrum.
Supervisor
Description
peer-reviewed
Publisher
Citation
Irish Signals and Systems Conference 2003 (ISSC'03)