IMH-Net: a convolutional neural network for end-to-end EEG motor imagery classification.

Liu, Menghao; Li, Tingting; Zhang, Xu; Yang, Yang; Zhou, Zhiyong; Fu, Tianhao

Liu, Menghao; Li, Tingting; Zhang, Xu; Yang, Yang; Zhou, Zhiyong; Fu, Tianhao.

Affiliation

Liu M; Mechanical College, Shanghai Dianji University, Shanghai, China.
Li T; Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Zhang X; Mechanical College, Shanghai Dianji University, Shanghai, China.
Yang Y; Shanghai Lanhui Medical Technology Co., Ltd, Shanghai, China.
Zhou Z; Mechanical College, Shanghai Dianji University, Shanghai, China.
Fu T; Mechanical College, Shanghai Dianji University, Shanghai, China.

Comput Methods Biomech Biomed Engin ; : 1-14, 2023 Nov 07.

Article de En | MEDLINE | ID: mdl-37936533

Mots clés

Deep learning (DL); brain-computer interface (BCI); end-to-end; motor imagery (MI); subject-independent

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Comput Methods Biomech Biomed Engin Sujet du journal: ENGENHARIA BIOMEDICA / FISIOLOGIA Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni

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