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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Bibliographic Details
Main Authors: Lei Cao, Hailiang Wu, Shugeng Chen, Yilin Dong, Changming Zhu, Jie Jia, Chunjiang Fan
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Brain Sciences
Subjects:
brain–computer interface
motor attempt (MA)
EEG
deep learning method
overlapping time window
Online Access:https://www.mdpi.com/2076-3425/12/11/1502

Internet

https://www.mdpi.com/2076-3425/12/11/1502

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