Improved empirical wavelet transform combined with particle swarm optimization-support vector machine for EEG-based depression recognition

Improved empirical wavelet transform combined with particle swarm optimization-support vector machine for EEG-based depression recognition

Abstract Depression not only inflicts physical harm on patients and diminishes their quality of life, but also imposes a significant burden on families and society. Current diagnostic methods are predominantly employed post-onset, leading to a lack of early intervention opportunities for patients. T...

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Bibliographic Details
Main Authors: Yongxin Wang, Longqi Xu, Hongxu Qian, Haijun Lin, Xuhui Zhang
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Improved empirical wavelet transform
Feature extraction
Depression recognition
PSO-SVM
Electroencephalogram
Online Access:https://doi.org/10.1186/s13634-024-01199-z
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https://doi.org/10.1186/s13634-024-01199-z

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