Automatic detection of abnormal EEG signals using multiscale features with ensemble learning
Electroencephalogram (EEG) is an economical and convenient auxiliary test to aid in the diagnosis and analysis of brain-related neurological diseases. In recent years, machine learning has shown great potential in clinical EEG abnormality detection. However, existing methods usually fail to consider...
Main Authors: | Tao Wu, Xiangzeng Kong, Yunning Zhong, Lifei Chen |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-09-01
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Series: | Frontiers in Human Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnhum.2022.943258/full |
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