Exoskeleton-guided passive movement elicits standardized EEG patterns for generalizable BCIs in stroke rehabilitation

These findings underscore that passive movement elicits consistent neural responses, thereby enhancing the generalizability of decoding algorithms for stroke patients. By integrating exoskeleton-evoked proprioceptive feedback, this paradigm reduces inter-subject variability and improves clinical feasibility. Future work should explore the application of exoskeletons in the combination of active and passive movement for stroke rehabilitation.

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Publication Details

Journal
Journal of NeuroEngineering and Rehabilitation
Published
2025-04-26
DOI
https://doi.org/10.1186/s12984-025-01627-7
Citations
4
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
5.72

Funders

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article

Exoskeleton-guided passive movement elicits standardized EEG patterns for generalizable BCIs in stroke rehabilitation

Liyao Huang, Wanting Liu, Gan Huang, Lingling Tian et al.
4 citations
Journal of NeuroEngineering and Rehabilitation
EEG and Brain-Computer Interfaces
5.72
article

Exoskeleton-guided passive movement elicits standardized EEG patterns for generalizable BCIs in stroke rehabilitation

Liyao Huang, Wanting Liu, Gan Huang, Lingling Tian, Xinyi Zhang, Zhen Liang, Li Zhang, Hai Li, Mingjun Wang, Shaoying Liang, Lanfang Xie
article en
4 citations

Abstract

These findings underscore that passive movement elicits consistent neural responses, thereby enhancing the generalizability of decoding algorithms for stroke patients. By integrating exoskeleton-evoked proprioceptive feedback, this paradigm reduces inter-subject variability and improves clinical feasibility. Future work should explore the application of exoskeletons in the combination of active and passive movement for stroke rehabilitation.

Journal of NeuroEngineering and RehabilitationVol. 22(1)
Key Laboratory of Guangdong Province (CN), Shenzhen University Health Science Center (CN)
National Natural Science Foundation of China, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Science and Technology Innovation Program, Basic and Applied Basic Research Foundation of Guangdong Province
Quality Education
Openalex Percentile: Top 4%
EEG and Brain-Computer Interfaces
5.72
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