Abstract
Continuous electroencephalogram (cEEG) monitoring can promptly detect abnormal brain electrical activity in critically ill patients and dynamically evaluate their brain function. However, continuous monitoring data are relatively large, the analysis time is relatively long, and the professional requirements are high, so it is difficult for nonneuroelectrophysiologists to analyze the EEG of critically ill patients at the bedside in a timely manner. qEEG compresses the original EEG signal, compressing hours or even days of data into a single screen by means of graphs and uses quantitative techniques to analyze the EEG signals in the frequency domain and time domain. qEEG intuitively reflects the patient’s brain function status in the form of trend graphs, making it possible for nonneuroelectrophysiological critical care doctors to analyze and evaluate patients’ brain function at the bedside. This chapter gives a detailed introduction to several qEEG analysis techniques with the greatest practical clinical value, focusing on the basic concepts, principles, interpretation points and steps, common artifacts, and identification methods of commonly used trend graphs. This chapter helps clinicians quickly understand qEEG and how to use qEEG to make early predictions of a disease. This chapter lays a good foundation for subsequent chapters.
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Li, F., Huang, Z. (2022). qEEG Monitoring System in Severely Ill Patients. In: Wang, X., Li, F., Pan, S. (eds) Multi-Modal EEG Monitoring of Severely Neurologically Ill Patients. Springer, Singapore. https://doi.org/10.1007/978-981-16-4493-1_2
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DOI: https://doi.org/10.1007/978-981-16-4493-1_2
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