Zhipeng Cai received the B.S. degree in Measurement and Control Technology and Instrument from the School of Mechanical Engineering, Jiangsu University, Zhenjiang, China, in 2013. He obtained the Ph.D. and M.S. degree from the School of Instrument Science and Engineering, Southeast University, Nanjing, China, in 2015 and 2019, respectively. He is currently receiving the Postdoctoral training in Biomedical Engineering with Southeast University, Nanjing, China. His current research interests include bio-signal processing, body sensor networks, and cardiac electrophysiology simulation.
Research Interests1. Wearable device development for cardiovascular disease monitoring Investigation on performance of dry electrode Wearable ECG monitoring device 2. ECG signal processing Feature extraction and rule-based method for real-time arrhythmias detection Deep-learning-based methods for premature beat detection in telemedicine Research on synergetic methods of rule-based algorithms and Deep-learning-based algorithms for premature beat detection 3. Lead optimization for specific arrhythmias detection Computational Cardiac Modeling (Torso-heart modeling) Development of wearable body surface potential mapping system Body surface electrocardiograms based lead optimization method
2020.1-now Postdoctoral Researcher
School of Instrument Science and Engineering, Southeast University, Nanjing, China
2016/03-2019/12, Ph.D. in Instrument Science and Technology, Southeast University
2013/09-2015/11, M.S. in Instrumentation Engineering, Southeast University
2009/09-2013/06, B.S. in Measurement and Control Technology and Instrument, Jiangsu University
Editorial Board and Academic Society