
Engineering and Technology
Review of Performance Improvement of a Noninvasive Brain-computer Interface in Communication and Motor Control for Clinical Applications
Y. Saito, K. Kamagata, et al.
Discover groundbreaking insights into noninvasive brain-computer interfaces (BCIs) for communication and motor control in clinical applications. This research, conducted by Yuya Saito, Koji Kamagata, Toshiaki Akashi, Akihiko Wada, Keigo Shimoji, Masaaki Hori, Masaru Kuwabara, Ryota Kanai, and Shigeki Aoki, delves into trends, challenges, and innovative data augmentation techniques using deep learning to enhance BCI versatility.
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