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This paper is in the following e-collection/theme issue:

Applications of AI (1093) Decision Support for Health Professionals (2348) Depression and Mood Disorders; Suicide Prevention (2520) Ontologies, Classifications, and Coding (470) Diagnostic Tools in Mental Health (455) Machine Learning (3340) Artificial Intelligence (5022) Computer-Aided Diagnosis (441)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/101076, first published .
Doctor points to brain scan data and AI neural network for diagnostic analysis

Nonlinear Feature Modeling Using Kolmogorov-Arnold Networks in Electroencephalography for Depression Classification: Deep Learning Study

Nonlinear Feature Modeling Using Kolmogorov-Arnold Networks in Electroencephalography for Depression Classification: Deep Learning Study

Authors of this article:

Bin Yang1 Author Orcid Image ;   Yongfeng Fan1 Author Orcid Image ;   Xinhong Wei1 Author Orcid Image ;   Chunlei Shi1 Author Orcid Image
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Bin Yang   1 , MSc ;   Yongfeng Fan   1 , MSc ;   Xinhong Wei   1 , MSc ;   Chunlei Shi   1 , PhD

1 Henan University of Urban Construction, Pingdingshan, Henan, China

Corresponding Author:

  • Xinhong Wei, MSc
  • Henan University of Urban Construction
  • No. 207, Longxiang Avenue, Xincheng District
  • Pingdingshan, Henan 467000
  • China
  • Phone: 86 13837588771
  • Email: 30080805@huuc.edu.cn