Author

Ming Dong

3 papers indexed here

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Dataset Open access Jul 2026

A multi-paradigm and longitudinal EEG dataset including the “sixth-finger” and “affected-hand” motor imagery of stroke patients

Motor imagery-based brain-computer interface (MI-BCI) applications in stroke rehabilitation aim to match brain activity with real-time feedback, thereby establishing closed-loop neural pathways and providing a basis for evaluating patients’ neuroplasticity changes. Thus, constructing EEG datasets under MI paradigms is...

Zhuang Wang, Yuan Liu, Shuai-Fei Huang et al. · Scientific Data · 0 citations

Open access Aug 2026

Toward Sustainable Cross-Time Affective Brain–Computer Interfaces: Explicit Modeling and Structural Calibration of Temporal Variability

Temporal variability limits the practical application of cross-time affective brain-computer interfaces (aBCI). Existing static feature-to-emotion mapping methods are unable to capture the dynamic changes in brain state. Here we propose a multi-level dynamic integrated perception network algorithm (MDIN), which expli...

Feifan Yan, Bo Zhang, Tao Wang et al. · National Science Review · 0 citations

Open access Aug 2026

ERD Full-Process Longitudinal Trend and Pre-Post Motor Recovery Under BCI-Controlled Sixth-Finger Neurofeedback Intervention in Stroke Patients: An Exploratory Single-Arm Study

Motor imagery-based brain-computer interface (MI-BCI) is used in stroke rehabilitation to match brain activity with contingent feedback to establish closed-loop pathways and provide a measure of neuroplasticity changes in patients. However, most studies assessed neural function only at pre- and post-train, thereby long...

Zhuang Wang, Yuan Liu, Shuai-Fei Huang et al. · IEEE transactions on neural... · 0 citations