Computer quantification of electroencephalographic data recorded from renal patients

Computer quantification of EEG records recorded from patients with renal disease reveals a slowing of the EEG correlated with deterioration of the patient's clinical condition. Electroencephalographic records were analyzed (1) by time averaged autocorrelation and subsequent Fourier transformati...

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Veröffentlicht in:Computers and biomedical research 1975-10, Vol.8 (5), p.461-473
Hauptverfasser: Bourne, J.R., Miezin, F.M., Ward, J.W., Teschan, P.E.
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container_title Computers and biomedical research
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creator Bourne, J.R.
Miezin, F.M.
Ward, J.W.
Teschan, P.E.
description Computer quantification of EEG records recorded from patients with renal disease reveals a slowing of the EEG correlated with deterioration of the patient's clinical condition. Electroencephalographic records were analyzed (1) by time averaged autocorrelation and subsequent Fourier transformation and (2) by generation of compressed spectra arrays (CSA). Quantification of the CSA provided estimates of the mean and variance of the percent power in selected frequency bandwidths in the EEG. This quantification has proved quite useful in the detection of slowing in EEG records.
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subjects Computers
Electroencephalography - methods
Fourier Analysis
Humans
Kidney Diseases - physiopathology
Renal Dialysis
Spectrum Analysis
Statistics as Topic
title Computer quantification of electroencephalographic data recorded from renal patients
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