TFSNet: A Time–Frequency Synergy Network Based on EEG Signals for Autism Spectrum Disorder Classification

TFSNet: A Time–Frequency Synergy Network Based on EEG Signals for Autism Spectrum Disorder Classification

Autism Spectrum Disorder (ASD) seriously affects social, communication, and behavioral functions, and early accurate diagnosis is crucial to improve the prognosis of patients. Traditional diagnosis methods rely on professional doctors to make subjective diagnosis through scales, the feature extracti...

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Bibliographic Details
Main Authors: Lijuan Shi, Lintao Ma, Jian Zhao, Zhejun Kuang, Sifan Wang, Han Yang, Haiyan Wang, Qiulei Han, Lei Sun
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Brain Sciences
Subjects:
Autism Spectrum Disorder
EEG
time-frequency feature fusion
feature extraction
Online Access:https://www.mdpi.com/2076-3425/15/7/684
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