Data compression methods for EEG

Article type: Research Article

Authors: Ylöstalo, Jyri

Affiliations: Helsinki University Central Hospital, BioMag Laboratory, P.O. Box 508, 00029 HYKS, Finland. Fax: +358-9-471 5781, E-mail: jyri@biomag.helsinki.fi

Abstract: Modern brain research experiments require the recording of large amounts of high-accuracy EEG data. Sampling frequency, bit resolution and number of channels are significantly larger than in routine clinical measurements. Because of this, the need of efficient signal compression has emerged. This paper presents a survey of available methods and explores some techniques, both lossy and lossless, for compressing EEG signals.

Keywords: EEG, data compression, vector quantization, subband coding, principal component analysis

DOI: 10.3233/THC-1999-7404

Journal: Technology and Health Care, vol. 7, no. 4, pp. 285-300, 1999