SOURCE RECORD / S0193

A multi-day and high-quality EEG dataset for motor imagery brain-computer interface

Evidence B

A multi-day and high-quality EEG dataset for motor imagery brain-computer interface

Authors or organization

Yang B, Rong F, Xie Y, Li D, Zhang J, Li F, Shi G, Gao X

Published date

2025-03-23

Source type

peer_reviewed_dataset

Technology route

non-invasive 58-channel EEG motor imagery

Function or setting

dataset and algorithm validation

Rights status

mirror_allowed / CC BY 4.0

Legacy aliases

—

Related topics

• BCI 最优方案
• 非侵入式 BCI

Evidence summary

Evidence: Reusable multi-day MI-BCI dataset and within-dataset benchmark. Key figures: 58 channels; three sessions; 85.31% two-class and 76.90% three-class average accuracy. Limitations: Healthy contest cohort; reported 10-fold cross-validation does not itself prove held-out cross-subject or cross-session generalization.

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