Robust EEG Characteristics for Predicting Neurological Recovery from Coma After Cardiac Arrest

Robust EEG Characteristics for Predicting Neurological Recovery from Coma After Cardiac Arrest

Objective: Clinically, patients in a coma after cardiac arrest are given the prognosis of “neurological recovery” to minimize discrepancies in opinions and reduce judgment errors. This study aimed to analyze the background patterns of electroencephalogram (EEG) signals from such patients to identify...

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Bibliographic Details
Main Authors:	Meitong Zhu, Meng Xu, Meng Gao, Rui Yu, Guangyu Bin
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Series:	Sensors
Subjects:	cardiac arrest neurological recovery and prognosis EEG signal feature extraction
Online Access:	https://www.mdpi.com/1424-8220/25/7/2332
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