Diagnosis

Digital-Twin-Based Patient Evaluation during Stroke Rehabilitation
A digital-twin-based framework for automated patient evaluation and task planning during robotic rehabilitation.
Yilun Chen, Wentao Wang, Junyu Diao, Daoyu Wang, Zhuo Jian, Yixi Wang, Zhihao Jiang
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Clinical Assist System for Cardiac Ablation
Iterative enumeration and update of suspected heart conditions can improve the rigorousness and efficiency of cardiac ablation.
Zhihao Jiang, Guangyao Chen, Yining She, Renzhi Tang, Zeyu Li
Clinical Assist System for Cardiac Ablation
Cognitive Models for Intelligent Driving Assistance
Correct estimation of the cognitive state of the driver is essential for comprehensive driving assistance
Zhihao Jiang, Renzhi Tang, Junyu Diao, Yi Gu
Cognitive Models for Intelligent Driving Assistance
Model-based Clinical Assist System for Cardiac Ablation
Enumerate suspected heart conditions during the procedure to provide more rigorous and intuitive interpretation of current understanding of the patient’s heart, which improves the accuracy and efficiency of the diagnosis and relieves the physicians from demanding low-level reasoning.
Yutong Wu, Renzhi Tang, Eunsuk Kang, Zhihao Jiang
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Model-based Clinical Assist System for Cardiac Ablation
Adaptive Deep Brain Stimulation
Distinguish patient conditions and deliver appropriate therapy while achieving optimal power consumption.
Zhihao Jiang, Yilun Chen, Wentao Wang
Adaptive Deep Brain Stimulation
Patient Evaluation during Stroke Rehabilitation
Assess dynamic and static motor control of the patient during stroke rehab
Zhihao Jiang, Yilun Chen, Junyu Diao, Wentao Wang
Patient Evaluation during Stroke Rehabilitation
Safe and Personalized Implantable Cardiac Devices
Develop and validate implantable cardiac device algorithms for cardiac arrhythmia
Zhihao Jiang, Haochen Yang, Mincai Lai
Safe and Personalized Implantable Cardiac Devices