Automated detection of EEG artifacts during sleep: preprocessing for all-night spectral analysis.

Full Abstract

This paper describes a simple artifact detection algorithm which can be used when large amounts of EEG data are to be automatically processed via spectral analysis techniques in a general purpose digital computer, and visual inspection of each EEG epoch becomes an impossible task. The technique is based on a chi-square (chi(2)) goodness-of-fit test to a Gaussian distribution (CSQ), and it was applied to EEG epochs each 30 sec long. This test proved to be very sensitive to non-stationarities in the EEG amplitude distribution for a particular epoch, and it produced a large value for the chi(2) coefficient when an artifact was present. EEG epochs that gave rise to chi(2) coefficients of value larger than a heuristically determined minimum were discarded from further analysis. The above technique enabled efficient data reduction and reliable automatic off-line processing of 50 nights of sleep EEG via spectral techniques.

Author information

Author/s: Ktonas, P Y (PY); Osorio, P L (PL); Everett, R L (RL);

Journal and publication information

Publication Type: Journal Article

Journal: Electroencephalography and clinical neurophysiology (Electroencephalogr Clin Neurophysiol), published in NETHERLANDS. (Language: eng)

Reference: 1979-Apr; vol 46 (issue 4) : pp 382-8

Dates: Created 1979/06/29; Completed 1979/06/29; Revised 2008/09/09;

PMID: 85534, status: MEDLINE (last retrieved date: 2/18/2009)

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