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Quantitative EEG (EEG Trend Analysis)
Neville M. Jadeja (University of Massachusetts Chan Medical School), Kyle C. Rossi (University of Massachusetts Chan Medical School)
Abstract: This chapter focuses on quantitative EEG processing, also known as EEG trend analysis. These types of algorithms process raw EEG data in a quantitative way, and display the data in more compressed forms that may be easier for the amateur EEG reader to interpret. Specific QEEG algorithms described in this chapter include amplitude integrated EEG, FFT spectrogram, rhythmicity spectrogram, asymmetry indices, and seizure detectors. Specific roles for QEEG covered include seizure detection and detection of focal cerebral ischemia.