Juan Cheng

Professor

Department of Biomedical Engineering

Tel:  
Mail:  chengjuan@hfut.edu.cn

• 2021.12 - Present: Professor, Dept. of Biomedical Engineering, Hefei University of Technology, PR China

• 2013.12 - 2021.11: Lecture, Associate Professor, Dept. of Biomedical Engineering, Hefei University of Technology, PR China

• 2008.09 - 2013.06: Ph.D candidate, Dept. of Electronic Science and Technology, University of Science and Technology of China, PR China

• 2004.09 - 2008.07:  Undergraduate, Dept. of Electronic Science and Technology, University of Science and Technology of China, PR China

Teaching

Undergraduate Course: Pattern Recognition

Postgraduate Course: Signal Pattern Recognition; Weak Signal Detection and Processing

Research

Dr. Juan Cheng’s research interests include biomedical signal processing, human-computer interaction, machine learning and computer vision. Her current research is mainly focused on non-contact healthcare monitoring, emotion awareness.

Selected Papers/Patentsand Honors

1.Juan Cheng, Runqing Liu, Jiajie Li, Rencheng Song*, Yu Liu and Xun Chen, Motion-Robust Respiratory Rate Estimation From Camera Videos via Fusing Pixel Movement and Pixel Intensity Information. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 4008611.

2.Juan Cheng, Meiyao Chen, Chang Li, Yu Liu, Rencheng Song, Aipin Liu and Xun Chen*, Emotion Recognition from Multi-Channel EEG via Deep Forest. IEEE Journal of Biomedical and Health Informatics, 2021, 25(2): 453-464. ESI Highly Cited Paper

3.Juan Cheng, Ping Wang, Rencheng Song*, Yu Liu, Chang Li, Yong Liu, Xun Chen*, Remote Heart Rate Measurement From Near-Infrared Videos Based on Joint Blind Source Separation With Delay-Coordinate Transformation. IEEE Transactions on Instrumentation and Measurement, 2021, 70, 5005313

4.Juan Cheng, Xun Chen*, Lingxi Xu, Z. J. Wang, Illumination Variation-Resistant Video-Based Heart Rate Measurement Using Joint Blind Source Separation and Ensemble Empirical Mode Decomposition. IEEE Journal of Biomedical and Health Informatics, 2017, 21(5): 1422-1433

5.Juan Cheng, Xiang Chen*. A Framework for Daily Activity Monitoring and Fall Detection Based on Surface Electromyography and Accelerometer Signals. IEEE Journal of Biomedical and Health Informatics, 2013, 17(1): 38-45.