Multimodal brain-controlled system for rehabilitation training: Combining asynchronous online brain–computer interface and exoskeleton-Reference-Cited by-同舟云学术

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Multimodal brain-controlled system for rehabilitation training: Combining asynchronous online brain–computer interface and exoskeleton

Published:2024-06 Issue: Volume:406 Page:110132
ISSN:0165-0270
Container-title:Journal of Neuroscience Methods
language:en
Short-container-title:Journal of Neuroscience Methods

Author:

Liu Lei^ORCID,Li Jian,Ouyang Rui,Zhou Danya,Fan Cunhang,Liang Wen,Li Fan,Lv Zhao,Wu Xiaopei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference47 articles.

1. Filter bank common spatial pattern algorithm on BCI competition IV datasets 2a and 2b;Ang;Front. Neurosci.,2012

2. Filter bank common spatial pattern (FBCSP) in brain-computer interface;Ang,2008

3. Performance enhancement of wearable instrumentation for AR-based SSVEP BCI;Arpaia;Measurement,2022

4. A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm;Ayoobi,2022

5. Action observation therapy for arm recovery after stroke: A preliminary investigation on a novel protocol with EEG monitoring;Boni;J. Clin. Med.,2023

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1. Research on shared control of robots based on hybrid brain-computer interface;Journal of Neuroscience Methods;2024-12

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