Enhancement of Time-Frequency Energy for the Classification of Motor Imagery Electroencephalogram Based on an Improved FitzHugh–Nagumo Neuron System

• Main Authors: Ruiquan Chen (Author), Guanghua Xu (Author), Yaguang Jia (Author), Cheng Zhou (Author), Zhao Wang (Author), Jinju Pei (Author), Chengcheng Han (Author), Yi Wang (Author), Sicong Zhang (Author)
• 格式: 图书
• 出版: IEEE, 2023-01-01T00:00:00Z.
• 主题: article
• 在线阅读: Connect to this object online.

Brain-computer interface (BCI) based on motor imagery (MI) electroencephalogram (EEG) has become an essential way for rehabilitation, because of the activation and interaction of motor neurons between the brain and rehabilitation devices in recent years. However, due to the discrepancies between ind...