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

• Автори: Ruiquan Chen (Автор), Guanghua Xu (Автор), Yaguang Jia (Автор), Cheng Zhou (Автор), Zhao Wang (Автор), Jinju Pei (Автор), Chengcheng Han (Автор), Yi Wang (Автор), Sicong Zhang (Автор)
• Формат: Книга
• Опубліковано: IEEE, 2023-01-01T00:00:00Z.
• Предмети: article
• Онлайн доступ: 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...