A Wearable Brain-Computer Interface With Fewer EEG Channels for Online Motor Imagery Detection

• Main Authors: Zuguang Rao (Author), Junbiao Zhu (Author), Zilin Lu (Author), Rui Zhang (Author), Kendi Li (Author), Zijing Guan (Author), Yuanqing Li (Author)
• Format: Book
• Published: IEEE, 2024-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Motor imagery-based brain-computer interfaces (MI-BCIs) have significant potential for neurorehabilitation and motor recovery. However, most BCI systems employ multi-channel electroencephalogram (EEG) recording devices, during which the pre-experimental preparation and post-experimental hair cleanin...