Computer Detection Approaches for Identification of Phasic Electromyographic (emg) Activity during Human Sleep.

Abstract

BACKGROUND: Examination of spontaneously occurring phasic muscle activity from the human polysomnogram may have considerable clinical importance for patient care, yet most attempts to quantify the detection of such activity have relied upon laborious and intensive visual analyses. We describe in this study innovative signal processing approaches to this… (More)

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Cite this paper

@article{Fairley2012ComputerDA, title={Computer Detection Approaches for Identification of Phasic Electromyographic (emg) Activity during Human Sleep.}, author={Jacqueline Fairley and George K. Georgoulas and Nishant A. Mehta and Alexander G. Gray and Donald L. Bliwise}, journal={Biomedical signal processing and control}, year={2012}, volume={7 6}, pages={606-615} }