【TITLE & POSITION】Professor

【ACADEMIC APPOINTMENTS】Member of biomedical electronics branch of Chinese society of electronics, biomedical engineering society of China, medical artificial intelligence branch of the Chinese society of biomedical engineering. Council member of Chongqing society of biomedical engineering, Chongqing medical equipment society, Safety expert committee of food and drug administration in chongqing. Editorial board member of test and diagnosis magazine. Reviewer of journal of Biomedical Signal Processing and Control, Biomechanics and Modeling in Mechanobiology, Infrared Physics & Technology, Physical and Engineering Sciences in Medicine, Biomedical Engineering, journal of Instrumentation, journal of Electronic Measurement and Instrumentation, Journal of Sensor Technology, etc.. The evaluation experts of National Natural Science Foundation of China, Science and Technology Project of Chongqing, and project evaluation experts of Fujian, Hebei, Shaanxi, Sichuan, Guangxi and other provinces.

【CONTACT INFORMATION】E-mail: jizhong@cqu.edu.cn; Website: www.jizhong.cqu.edu.cn.

【PERSONAL PROFILE】

Dr. Ji Zhong graduated from Chongqing University (Ph.D. in Mechatronics Science/Engineering, 2003.05). After the completion of postdoctoral research at chongqing University, and as a visting scholar in Manchester University, he joined Chongqing University (1999.07) to carry out teaching/research work. He has presided 2 Projects supported National Natural Science Foundation of China (NSFC), 6 Projects supported by Chongqing government. He has published more than 80 papers in journals such as Sensors, Biomedical Signal Processing and Control,Bio-Medical Materials and Engineering, etc. Moreover, he has applied and obtained about 40 patents of inventions. Current courses taught by Dr. Ji Zhong include Biomedical Signal Processing, The Principle of Single Chip Microcomputer and Its Application in Medical Instrument , Ergonomics, etc.

【RESEARCH INTERESTS】

1. Detection and processing of biomedical information

2. Methods and equipment for noninvasive detection, diagnosis and treatment analysis

【REPRESENTATIVE PUBLICATIONS】

1. Haiyan Wu, Zhong Ji, Mengze Li. Non-invasive Continuous Blood-Pressure Monitoring Models Based on Photoplethysmography and Electrocardiography，sensors, 2019.12.15

2. Jinxiu Cheng, Zhong Ji,Mengze Li, Juan Dai.Study of a noninvasive blood glucose detection model using the near-infrared light based on SA-NARX,Biomedical Signal Processing and Control, 2020, 56 .

3. Shuo Chen, Zhong Ji,Haiyan Wu and Yingchao Xu. A Non-Invasive Continuous Blood Pressure Estimation Approach Based on Machine Learning，sensors, 2019.6.6

4. Juan Dai , Zhong Ji , Yubao Du , Shuo Chen. In Vivo Noninvasive Blood Glucose Detection Using Near-Infrared Spectrum Based on the PSO-2ANN Model. Technology and Health Care (THC)，2018, 26(S1):229-239

5.Zhang Yadan, Ji Zhong, Xia Tan. Noise reduction of the electrocardiography signal and thoracic impedance differential signal based on adaptive EEMD and wavelet thresholding. Journal of medical imaging and health informatics, 2018, 8: 140-144