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Noise is present in the wide variety of signals obtained from sleep patients.This noise comes from a number of sources, from presence of extraneous signalsto adjustments in signal amplification and shot noise in the circuits used fordata collection. The noise needs to be removed in order to maximize theinformation gained about the patient using both manual and automatic analysisof the signals. Here we evaluate a number of new techniques for removal of thatnoise, and the associated problem of separating the original signal sources.Comment: 9 pages, 3 figure

Techniques for noise removal from EEG, EOG, and airflow signals in sleep patients