Optimizing patients' engagement by a cyber-physical rehabilitation system. - Chong Li 004; Zoltán Rusák; Imre Horváth; Yuemin Hou; Linhong Ji (GI-Jahrestagung, 2014)

Upper limb Motor Rehabilitation Integrated with Video Games Focusing on Training fingers' Fine movements. - Chong Li 004; Zoltán Rusák; Yuemin Hou; Christopher Young; Linhong Ji (Int. J. Robotics Autom., 2014)

Development of engagement evaluation method and learning mechanism in an engagement enhancing rehabilitation system. - Chong Li 004; Zoltán Rusák; Imre Horváth; Linhong Ji (Eng. Appl. Artif. Intell., 2016)

Validation of the reasoning of an entry-level cyber-physical stroke rehabilitation system equipped with engagement enhancing capabilities. - Chong Li 004; Zoltán Rusák; Imre Horváth; Linhong Ji (Eng. Appl. Artif. Intell., 2016)

How Height and Weight of Patients with Spinal Cord Injury Affect the Spring Locations of Unpowered Energy-stored Exoskeleton. - Xinyu Guan; Shengzheng Kuai; Liang Song; Chong Li 004; Weifeng Liu; Yali Liu; Linhong Ji; Rencheng Wang; Zhiqiang Zhang (EMBC, 2019)

Small-Dimension Feature Matrix Construction Method for Decoding Repetitive Finger Movements From Electroencephalogram Signals. - Tianyu Jia; Ke Liu; Yijia Lu; Yali Liu; Chong Li 004; Linhong Ji; Chao Qian 008 (IEEE Access, 2020)

5 Hz rTMS improves motor-imagery based BCI classification performance. - Tianyu Jia; Linhong Mo; Chong Li 004; Aixian Liu; Zhibin Li 004; Linhong Ji (EMBC, 2021)

EEG characteristics in "eyes-open" versus "eyes-closed" condition during vibrotactile stimulation. - Wei Li 197; Quan Xu; Yinbo Li; Chong Li 004; Fangfang Wu; Linhong Ji (Biomed. Signal Process. Control., 2021)

EEG-based evaluation of motion sickness and reducing sensory conflict in a simulated autonomous driving environment. - Zhibin Li 004; Leilei Zhao; Jing Chang; Wei Li 197; Menghui Yang; Chong Li 004; Rencheng Wang; Linhong Ji (EMBC, 2022)

A Transferable Deep Learning Prognosis Model for Predicting Stroke Patients' Recovery in Different Rehabilitation Trainings. - Ping-Ju Lin; Xiaoxue Zhai; Wei Li 197; Tianyi Li; Dandan Cheng; Chong Li 004; Yu Pan; Linhong Ji (IEEE J. Biomed. Health Informatics, 2022)

Enhancing Motor Learning Performance by Incorporating Brain-to-brain Coupling with Affective Interaction. - Feiyu Pan; Tianyu Jia; Jingyao Sun; Annie Yan Wang; Linhong Ji; Chong Li 004 (EMBC, 2024)

Unsupervised Gait Assessments of Stroke Patients Using a Smartphone and Machine Learning. - Jingyao Sun; Tianyu Jia; Kiensiau Lim; Linhong Mo; Linhong Ji; Chong Li 004 (EMBC, 2024)

Repetitive Passive Movement Modulates Cortical Dynamics in Subacute Stroke Patients with Sensory Deficits. - Jingyao Sun; Yu Zhang; Xingyu Wang; Zhibin Li 004; Wei Li 197; Linhong Mo; Aixian Liu; Linhong Ji; Yu Pan; Chong Li 004 (i-CREATe, 2024)

AM-EEGNet: An advanced multi-input deep learning framework for classifying stroke patient EEG task states. - Ping-Ju Lin; Wei Li 197; Xiaoxue Zhai; Jingyao Sun; Yu Pan; Linhong Ji; Chong Li 004 (Neurocomputing, 2024)

Multiscale Canonical Coherence for Functional Corticomuscular Coupling Analysis. - Jingyao Sun; Tianyu Jia; Ping-Ju Lin; Zhibin Li 004; Linhong Ji; Chong Li 004 (IEEE J. Biomed. Health Informatics, 2024)

Structured and sparse partial least squares coherence for multivariate cortico-muscular analysis. - Jingyao Sun; Qilu Zhang; Di Ma; Tianyu Jia; Shijie Jia; Xiaoxue Zhai; Ruimou Xie; Ping-Ju Lin; Zhibin Li 004; Yu Pan; Linhong Ji; Chong Li 004 (CoRR, 2025)

Cortical Activation Patterns Determine Effectiveness of rTMS-Induced Motor Imagery Decoding Enhancement in Stroke Patients. - Tianyu Jia; Linhong Mo; Ciarán McGeady; Jingyao Sun; Aixian Liu; Linhong Ji; Jianing Xi; Chong Li 004 (IEEE Trans. Biomed. Eng., 2025)

Closed-Loop Respiratory Intervention Enhances Sleep Ventilation and Oxygen Saturation in Healthy Participants With Rapid High-Altitude Exposure. - Yilin Yang; Wei Li 197; Hanyu Chen 001; Xiaochen Wang; Linhong Ji; Boda Zhou; Chong Li 004 (IEEE J. Biomed. Health Informatics, 2025)