Lightweight deep learning model for nonconvulsive status epilepticus diagnosis using EEG time–frequency analysis
D
Dong Xu
(Department of Diagnostic Ultrasound Imaging & Interventional Therapy, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou Institute of Medicine (HIM))
H
Hao Li
Z
Zhenzhen Pan
X
Xiaochuang Yuan
F
Fan Yang
M
Meifeng Huang
H
Haiyan Li
(School of Chemical Engineering and Technology)
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 16, Issue 1
Published
May 25, 2026
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (7)
D
Dong Xu
Department of Diagnostic Ultrasound Imaging & Interventional Therapy, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou Institute of Medicine (HIM)
H
Hao Li
Z
Zhenzhen Pan
X
Xiaochuang Yuan
F
Fan Yang
M
Meifeng Huang
H
Haiyan Li
School of Chemical Engineering and Technology
Related Articles from this Journal
AI models of unstable flow exhibit hallucination
Ramdhan Wibawa, Birendra Jha
Aug 2026
10.1038/s41598-026-64023-8
The MCAA-YOLO + XPBI integrated model provides a hybrid intelligent measurement method for predicting the body weight of Hu sheep
Hang Zhang, Yuang Cheng et al.
Aug 2026
10.1038/s41598-026-64075-w
Application of iron nano-biofertilizers as a sustainable approach to enhance growth and micronutrient uptake in soybean
Ava Mohrazi, Reza Ghasemi-Fasaei
Aug 2026
10.1038/s41598-026-66011-4
Adolescents’ status-dependent public and private conformity to prosocial and antisocial decisions in a public goods game
Niloofar Saeedi, Khatereh Borhani et al.
Aug 2026
10.1038/s41598-026-64831-y
An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation
Hyein Lee, Dae-Hyun Jung
Aug 2026
10.1038/s41598-026-64156-w