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A Model for Predicting the Reliability of EEG Power Spectral Density Estimates of Subcortical Spiking Frequency

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1 Author(s)
Barry Keane ; Department of Electrical and Computer Engineering, Clemson University

A model for predicting the reliability of power spectral density (PSD) indicators of spike-to-spike intervals taken from EEG time series is proposed. The analysis shows that the PSD is corrupted by irregularities in spike spacing and that conditions are improved if a larger number of spikes are included in the EEG epoch.

Published in:

IEEE Transactions on Biomedical Engineering  (Volume:BME-26 ,  Issue: 1 )