Task-state EEG signal classification for spatial cognitive evaluation based on multiscale high-density convolutional neural network

• 主要な著者: Wen, Dong, Li, Rou, Tang, Hao, Liu, Yijun, Wan, Xianglong, Dong, Xianling, Saripan, M. Iqbal, Lan, Xifa, Song, Haiqing, Zhou, Yanhong
• フォーマット: 論文
• 出版事項: Institute of Electrical and Electronics Engineers 2022
• オンライン･アクセス: http://psasir.upm.edu.my/id/eprint/103432/; https://ieeexplore.ieee.org/document/9754515

In this study, a multi-scale high-density convolutional neural network (MHCNN) classification method for spatial cognitive ability assessment was proposed, aiming at achieving the binary classification of task-state EEG signals before and after spatial cognitive training. Besides, the multi-dimensio...