Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features

Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features

Abstract Accurate monitoring of the depth of anesthesia (DoA) is essential for ensuring patient safety and effective anesthesia management. Existing methods, such as the Bispectral Index (BIS), are limited in real-time accuracy and robustness. Current methods have problems in generalizability across...

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Bibliographic Details
Main Authors: Tianning Li, Yi Huang, Peng Wen, Yan Li
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:Brain Informatics
Subjects:
Depth of anesthesia (DoA)
Electroencephalogram (EEG)
Permutation Lempel–Ziv Complexity (PLZC)
Power spectral density (PSD)
Hurst exponent algorithm
Hierarchical clustering
Online Access:https://doi.org/10.1186/s40708-024-00241-y
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https://doi.org/10.1186/s40708-024-00241-y

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