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Xiaoxue Zhai

Showing results (1-10 of 15) with videos related to

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Frontiers in Neuroscience|June 1, 2022
EEG Microstate-Specific Functional Connectivity and Stroke-Related Alterations in Brain DynamicsZexuan Hao, Xiaoxue Zhai, Dandan Cheng, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|July 24, 2020
Efficient degradation of naproxen by persulfate activated with zero-valent iron: performance, kinetic and degradation pathwaysShuyu Dong, Xiaoxue Zhai, Ruobing Pi, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 15, 2023
A Novel Neurorehabilitation Prognosis Prediction Modeling on Separated Left-Right Hemiplegia Based on Brain-Computer Interfaces Assisted RehabilitationZhimin Shao, Weibei Dou, Di Ma, et al.
Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|February 5, 2025
Comparison of the efficacy of different protocols of repetitive transcranial magnetic stimulation and transcranial direct current stimulation on motor function, activities of daily living, and neurological function in patients with early stroke: a systematic review and network meta-analysisXueyi Ni, Zinan Yuan, Ruimou Xie, et al.
Neuroimage|October 11, 2023
CAMBA framework: Unveiling the brain asymmetry alterations and longitudinal changes after stroke using resting-state EEGZexuan Hao, Xiaoxue Zhai, Bo Peng, et al.
Medicine|January 21, 2026
Predicting rehabilitation outcomes of unilateral stroke after brain-computer interface training based on magnetic resonance imaging dataQuan Xu, Zhimin Shao, Di Ma, et al.
IEEE Journal of Biomedical and Health Informatics|September 9, 2022
A Transferable Deep Learning Prognosis Model for Predicting Stroke Patients' Recovery in Different Rehabilitation TrainingsPing-Ju Lin, Xiaoxue Zhai, Wei Li, et al.
Frontiers in Neurology|November 1, 2021
Effects of Robot-Aided Rehabilitation on the Ankle Joint Properties and Balance Function in Stroke Survivors: A Randomized Controlled TrialXiaoxue Zhai, Qiong Wu, Xin Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 5, 2024
Explainable Deep-Learning Prediction for Brain-Computer Interfaces Supported Lower Extremity Motor Gains Based on Multistate FusionPing-Ju Lin, Wei Li, Xiaoxue Zhai, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|October 24, 2025
Multimodal Behavioral Data Predict Stroke Patient's Response to BCI Treatment Through Explainable AIJingyao Sun, Ping-Ju Lin, Xiaoxue Zhai, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Frontiers in Neuroscience|June 1, 2022
EEG Microstate-Specific Functional Connectivity and Stroke-Related Alterations in Brain DynamicsZexuan Hao, Xiaoxue Zhai, Dandan Cheng, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|July 24, 2020
Efficient degradation of naproxen by persulfate activated with zero-valent iron: performance, kinetic and degradation pathwaysShuyu Dong, Xiaoxue Zhai, Ruobing Pi, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 15, 2023
A Novel Neurorehabilitation Prognosis Prediction Modeling on Separated Left-Right Hemiplegia Based on Brain-Computer Interfaces Assisted RehabilitationZhimin Shao, Weibei Dou, Di Ma, et al.
Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|February 5, 2025
Comparison of the efficacy of different protocols of repetitive transcranial magnetic stimulation and transcranial direct current stimulation on motor function, activities of daily living, and neurological function in patients with early stroke: a systematic review and network meta-analysisXueyi Ni, Zinan Yuan, Ruimou Xie, et al.
Neuroimage|October 11, 2023
CAMBA framework: Unveiling the brain asymmetry alterations and longitudinal changes after stroke using resting-state EEGZexuan Hao, Xiaoxue Zhai, Bo Peng, et al.
Medicine|January 21, 2026
Predicting rehabilitation outcomes of unilateral stroke after brain-computer interface training based on magnetic resonance imaging dataQuan Xu, Zhimin Shao, Di Ma, et al.
IEEE Journal of Biomedical and Health Informatics|September 9, 2022
A Transferable Deep Learning Prognosis Model for Predicting Stroke Patients' Recovery in Different Rehabilitation TrainingsPing-Ju Lin, Xiaoxue Zhai, Wei Li, et al.
Frontiers in Neurology|November 1, 2021
Effects of Robot-Aided Rehabilitation on the Ankle Joint Properties and Balance Function in Stroke Survivors: A Randomized Controlled TrialXiaoxue Zhai, Qiong Wu, Xin Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 5, 2024
Explainable Deep-Learning Prediction for Brain-Computer Interfaces Supported Lower Extremity Motor Gains Based on Multistate FusionPing-Ju Lin, Wei Li, Xiaoxue Zhai, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|October 24, 2025
Multimodal Behavioral Data Predict Stroke Patient's Response to BCI Treatment Through Explainable AIJingyao Sun, Ping-Ju Lin, Xiaoxue Zhai, et al.
Pageof 2