Enhancing classification of a large lower-limb motor imagery EEG dataset for BCI in knee pain patients
Abstract Chronic knee osteoarthritis pain significantly impacts patients’ quality of life and motor function. While motor imagery (MI)-based brain-computer interface (BCI) systems have shown promise in rehabilitation, their application to lower-limb conditions, particularly in pain patients, is unde...
Saved in:
| Main Authors: | Chongwen Zuo, Yi Yin, Haochong Wang, Zhiyang Zheng, Xiaoyan Ma, Yuan Yang, Jue Wang, Shan Wang, Zi-gang Huang, Chaoqun Ye |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05767-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lower limb motor imagery EEG dataset based on the multi-paradigm and longitudinal-training of stroke patients
by: Yuan Liu, et al.
Published: (2025-02-01) -
Influence of attentional state on EEG-based motor imagery of lower limb
by: Penghai Li, et al.
Published: (2025-05-01) -
Real-Time EEG-Based BCI for Self-Paced Motor Imagery and Motor Execution Using Functional Neural Networks
by: Mavin Heim, et al.
Published: (2025-01-01) -
Advancing BCI with a transformer-based model for motor imagery classification
by: Wangdan Liao, et al.
Published: (2025-07-01) -
Exploring cortical excitability in children with cerebral palsy through lower limb robot training based on MI-BCI
by: Weihang Qi, et al.
Published: (2025-04-01)