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Chapter 8 - Quantitative EEG (EEG Trend Analysis)

from Part I - Introduction

Published online by Cambridge University Press:  22 February 2024

Neville M. Jadeja
Affiliation:
University of Massachusetts Medical School
Kyle C. Rossi
Affiliation:
University of Massachusetts Medical School
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Summary

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.

Type
Chapter
Information
Critical Care EEG Basics
Rapid Bedside EEG Reading for Acute Care Providers
, pp. 109 - 122
Publisher: Cambridge University Press
Print publication year: 2024

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References

Tong, S, Thankor, NV. Quantitative EEG Analysis Methods and Clinical Applications. Artech House, 2009.Google Scholar
Hwang, J, Cho, SM, Ritzl, EK. Recent applications of quantitative electroencephalography in adult intensive care units: A comprehensive review. Journal of Neurology. 2022 Dec;269(12):6290–309.Google Scholar
Kaleem, S, Swisher, CB. Utility of quantitative EEG for seizure detection in adults. Journal of Clinical Neurophysiology. 2022 Mar 1;39(3):184–94.Google Scholar
Goenka, A, Boro, A, Yozawitz, E. Comparative sensitivity of quantitative EEG (QEEG) spectrograms for detecting seizure subtypes. Seizure. 2018 Feb;55:70–5.Google Scholar
Baang, HY, Chen, HY, Herman, AL, et al. The utility of quantitative EEG in detecting delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage. Journal of Clinical Neurophysiology. 2022 Mar 1;39(3):207–15.Google Scholar

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