Multi-Class Classification Methods for EEG Signals of Lower-Limb Rehabilitation Movements

Multi-Class Classification Methods for EEG Signals of Lower-Limb Rehabilitation Movements

Brain–Computer Interfaces (BCIs) enable direct communication between the brain and external devices by decoding motor intentions from EEG signals. However, the existing multi-class classification methods for motor imagery EEG (MI-EEG) signals are hindered by low signal quality and limited accuracy,...

Full description

Saved in:
Bibliographic Details
Main Authors: Shuangling Ma, Zijie Situ, Xiaobo Peng, Zhangyang Li, Ying Huang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Biomimetics
Subjects:
MI-EEG signals
four-class classification
common spatial pattern
convolutional neural network
3D EEG-CNN
Online Access:https://www.mdpi.com/2313-7673/10/7/452
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items