相关实验视频

Updated: May 25, 2025

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.2K

[基于空间光谱特征图片的三维卷积神经网络学习来解码运动图像电脑图像信号]

Xuejian Wu1,2, Yaqi Chu1,2, Xingang Zhao1,2

  • 1State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, P. R. China.

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
|February 25, 2025
PubMed
概括

这项研究引入了一种新的3D卷积神经网络 (CNN),用于解码运动图像电脑图像 (EEG) 信号. 该方法显著提高了神经康复中大脑计算机接口 (BCI) 的识别率.

关键词:
大脑与计算机的接口.功能选择 功能选择运动图像电脑图像学 脑电图学信号解码信号的解码.空间光谱特征图片 空间光谱特征图片

更多相关视频

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

848
Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

11.6K

相关概念视频