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

Matthew J. Berryman; Sheila Messer; Andrew Allison; Derek Abbott

doi:10.1117/12.546637

25 May 2004 Techniques for noise removal from EEG, EOG, and airflow signals in sleep patients

Matthew J. Berryman, Sheila Messer, Andrew Allison, Derek Abbott

Proceedings Volume 5467, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems II; (2004) https://doi.org/10.1117/12.546637
Event: Second International Symposium on Fluctuations and Noise, 2004, Maspalomas, Gran Canaria Island, Spain

Abstract

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 signals to adjustments in signal amplification and shot noise in the circuits used for data collection. The noise needs to be removed in order to maximize the information gained about the patient using both manual and automatic analysis of the signals. Here we evaluate a number of new techniques for removal of that noise, and the associated problem of separating the original signal sources.

Citation Download Citation

Matthew J. Berryman, Sheila Messer, Andrew Allison, and Derek Abbott "Techniques for noise removal from EEG, EOG, and airflow signals in sleep patients", Proc. SPIE 5467, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems II, (25 May 2004); https://doi.org/10.1117/12.546637

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