| 注册
首页|期刊导航|Journal of Measurement Science and Instrumentation|Classification of EEG signals in depression by fusing temporal convolution and feature recalibration

Classification of EEG signals in depression by fusing temporal convolution and feature recalibration

SUN Fanglin ZHAI Fengwen JIN Jing

Journal of Measurement Science and Instrumentation2025,Vol.16Issue(4):P.547-557,11.
Journal of Measurement Science and Instrumentation2025,Vol.16Issue(4):P.547-557,11.DOI:10.62756/jmsi.1674-8042.2025053

Classification of EEG signals in depression by fusing temporal convolution and feature recalibration

SUN Fanglin 1ZHAI Fengwen 1JIN Jing1

作者信息

  • 1. School of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China
  • 折叠

摘要

关键词

multi-channel EEG signal/dual-branch convolutional neural network/feature recalibration/temporal convolutional network

分类

医药卫生

引用本文复制引用

SUN Fanglin,ZHAI Fengwen,JIN Jing..Classification of EEG signals in depression by fusing temporal convolution and feature recalibration[J].Journal of Measurement Science and Instrumentation,2025,16(4):P.547-557,11.

基金项目

supported by Natural Science Foundation of Gansu Province(No.21JR11RA062) (No.21JR11RA062)

University Innovation Fund of Gansu Province(No.2022A-047). (No.2022A-047)

Journal of Measurement Science and Instrumentation

1674-8042

访问量0
|
下载量0
段落导航相关论文