A Novel Deep Learning Method Based on an Overlapping Time Window Strategy for Brain–Computer Interface-Based Stroke Rehabilitation

A Novel Deep Learning Method Based on an Overlapping Time Window Strategy for Brain–Computer Interface-Based Stroke Rehabilitation

Globally, stroke is a leading cause of death and disability. The classification of motor intentions using brain activity is an important task in the rehabilitation of stroke patients using brain–computer interfaces (BCIs). This paper presents a new method for model training in EEG-based BCI rehabili...

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Dades bibliogràfiques
Autors principals:	Lei Cao, Hailiang Wu, Shugeng Chen, Yilin Dong, Changming Zhu, Jie Jia, Chunjiang Fan
Format:	Article
Idioma:	English
Publicat:	MDPI AG 2022-11-01
Col·lecció:	Brain Sciences
Matèries:	brain–computer interface motor attempt (MA) EEG deep learning method overlapping time window
Accés en línia:	https://www.mdpi.com/2076-3425/12/11/1502

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