title: A real-time system for the spectral analysis of the EEG.
abstract: We have developed an inexpensive and portable system for processing multiple channels of electroencephalograms (EEG) in real-time to assist the electroencephalographer in identifying subtle changes in these data, particularly in the interpretation of long records. Up to 16 channels of data are spectrally decomposed with a selection of bandwidth, windows, scaling methods, epoch averaging, and smoothing options available. The resulting power spectral estimate may be displayed or printed in a variety of formats, including color encoding of selectable spectral bands. Both the sampled EEG and its spectra may be stored for off-line reprocessing, for archiving, or for statistical analysis in the time or frequency domains.
authors.affiliation: Curriculum in Biomedical Engineering, UNC School of Medicine, Chapel Hill 27599.
authors.forename: S R
authors.initials: SR
authors.lastname: Quint
authors.forename: D F
authors.initials: DF
authors.lastname: Michaels
authors.forename: G W
authors.initials: GW
authors.lastname: Hilliard
authors.forename: J A
authors.initials: JA
authors.lastname: Messenheimer
mesh_terms: D000703:Analog-Digital Conversion; D004569:Electroencephalography / Q000295:instrumentation* / Q000379:methods; D006801:Humans; D008838:Microcomputers; D012815:Signal Processing, Computer-Assisted