CHEN, Shixiong

Presidential Fellow

Associate Professor

Education Background

PhD of Speech and Hearing Sciences (Arizona State University)

Master of Biomedical Engineering (Tsinghua University)

Bachelor of Biomedical Engineering (Tsinghua University)

Research Field
Innovative sensing, wearable system development and clinical translation of electrophysiological signals (EEG & EMG); mathematical algorithms and deep learning models for electrophysiological signal processing in early diagnosis of neurological diseases.
Email
chenshixiong@cuhk.edu.cn
Biography

Prof Shixiong CHEN received his bachelor’s and master’s degrees from the department of Biomedical Engineering in Tsinghua University in 2005 and 2007, respectively. He got his Ph.D. degree from Arizona State University (USA) in May 2012. He is currently an associate professor in School of MEDICINE, CUHK-Shenzhen. He was a former professor and doctoral supervisor of the Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS). His research interests include the innovative sensing, intelligent processing of neuromuscular electrophysiological signals, as well as their application in neurological rehabilitation. He was director of the Joint Laboratory of Neural Informatics and Engineering Laboratory, and deputy director of Shenzhen Engineering Laboratory of Neurorehabilitation. He has been awarded CAS Zhuliyuehua outstanding supervisor award, pilot talents of Shenzhen Nanshan district, and Shenzhen high-level professional talents. He is the primary investigator of multiple national/governmental research grants and has authored over 100 papers in top-rated journals, such as Advanced Materials, IEEE transactions on Biomedical Engineering, IEEE Transactions on Cognitive and Developmental Systems, IEEE Journal of Biomedical and Health Informatics, and Journal of Neural Engineering.

Academic Publications

Selected Publications

    1. Qiong Tian, Hang Zhao, Xin Wang, Ying Jiang, Mingxing Zhu, Huoerhute Yelemulati, Ruijie Xie, Qingsong Li, Rui Su, Zhengshuai Cao, Naifu Jiang, Jianping Huang, Guanglin Li, Shixiong Chen (*), Xiaodong Chen (*), Zhiyuan Liu (*), “Hairy Skin-adaptive Viscoelastic Dry Electrodes for Long-term Electrophysiological Monitoring”, Advanced Materials (IF=32.09), April 2023.
    2. Xin Wang, Qiong Tian, Mingxing Zhu, Yingying Wang, Boya Wang, Xiaobei Jing, Hiroshi Yokoi, Lin Li, Zhenzhen Liu, Weimin Huang, Shixiong Chen (*), Zhiyuan Liu, and Guanglin Li, “Towards Optimizing the Quality of Long -Term Physiological Signals Monitoring by Using Anhydrous Carbon Paste Electrode,” IEEE Transactions on Biomedical Engineering, vol. 70, no. 2, pp. 423–435, Feb. 2023.
    3. Haoshi Zhang, Mingxing Zhu, Yanbing Jiang, Dan Wang, Xin Wang, Zijian Yang, Weimin Huang, Shixiong Chen (*), and Guanglin Li, “A Robust Extraction Approach of Auditory Brainstem Response Using Adaptive Kalman Filtering Method,” IEEE Transactions on Biomedical Engineering, vol. 69, no. 12, pp. 3792–3802, Dec. 2022.
    4. Xin Wang, Haoshi Zhang, Jingqian Tan, Yangjie Xu, Poly Z. H. Sun, Junyu Ji, Jiafa Lu, Mingxing Zhu, Michael Chi Fai Tong, Subhas Chandra Mukhopadhyay, Guanglin Li, and Shixiong Chen (*), “High-Quality Auditory Brainstem Response Acquisition in Motion Via Adaptive Kalman Filtering,” IEEE Transactions on Cognitive and Developmental Systems, vol. PP, pp. 1–1, 2023.
    5. Ijaz Ahmad, Xin Wang, Danish Javeed, Prabhat Kumar, Oluwarotimi Williams Samuel, and Shixiong Chen (*), “A Hybrid Deep Learning Approach for Epileptic Seizure Detection in EEG signals,” IEEE Journal of Biomedical and Health Informatics, pp. 1– 12, April 2023.
    6. Ijaz Ahmad, Chen Yao, Lin Li, Yan Chen, Zhenzhen Liu, Inam Ullah, Mohammad Shabaz, Xin Wang, Kaiyang Huang, Guanglin Li, Guoru Zhao, Oluwarotimi Williams Samuel, and Shixiong Chen(*), “An efficient feature selection and explainable classification method for EEG-based epileptic seizure detection,” Journal of Information Security and Applications, vol. 80, p. 103654, Feb. 2024.
    7. Cheng Wang, Xin Wang, Xiaobei Jing, Hiroshi Yokoi, Weimin Huang, Mingxing Zhu, Shixiong Chen (*), and Guanglin Li, “Towards high-accuracy classifying attention-deficit/hyperactivity disorders using CNN-LSTM model,” Journal of Neural Engineering, vol. 19, no. 4, p. 046015, Aug. 2022.
    8. Mingxing Zhu, Haoshi Zhang, Xiaochen Wang, Xin Wang, Zijian Yang, Cheng Wang, Oluwarotimi Williams Samuel, Shixiong Chen (*), and Guanglin Li, “Towards optimizing electrode configurations for silent speech recognition based on high-density surface electromyography," Journal of Neural Engineering, vol. 18, no. 1, p. 016005, Feb. 2021.
    9. Mingxing Zhu, Zhen Huang, Xiaochen Wang, Xin Wang, Cheng Wang, Haoshi Zhang, Guoru Zhao, Shixiong Chen (*), and Guanglin Li, “Automatic Speech Recognition in Different Languages Using High-Density Surface Electromyography Sensors,” IEEE Sensors Journal, vol. 21, no. 13, pp. 14155–14167, Jul. 2021.
    10. Yazan Ali Jarrah, Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Xin Wang, Mingxing Zhu, Ejay Nsugbe, Shixiong Chen (*), and Guanglin Li, “High-density surface EMG signal quality enhancement via optimized filtering technique for amputees' motion intent characterization towards intuitive prostheses control,” Biomedical Signal Processing and Control, vol. 74, no. June 2021, p. 103497, Apr. 2022.
    11. Yanbing Jiang, Oluwarotimi Williams Samuel, Haoshi Zhang, Shixiong Chen (*), and Guanglin Li, “Towards effective assessment of normal hearing function from ABR using a time-variant sweep-tone stimulus approach,” Physiological Measurement, vol. 42, no. 4, p. 045010, Apr. 2021.
    12. Yanbing Jiang, Oluwarotimi Samuel, Williams, Mojisola Asogbon, Grace, Shixiong Chen (*), and Guanglin Li, “Towards optimal selection of stimuli polarity method for effective evoking auditory brainstem responses,” Journal of Integrative Neuroscience, vol. 20, no. 2, p. 297, 2021.
    13. Oluwarotimi Williams Samuel, Bin Yang, Yanjuan Geng, Mojisola Grace Asogbon, Sandeep Pirbhulal, Deogratias Mzurikwao, Oluwagbenga Paul Idowu, Tunde Joseph Ogundele, Xiangxin Li, Shixiong Chen (*), Ganesh R. Naik, Peng Fang, Fanghai Han, and Guanglin Li, “A new technique for the prediction of heart failure risk driven by hierarchical neighborhood component -based learning and adaptive multi-layer networks," Future Generation Computer Systems, vol. 110, pp. 781–794, Sep. 2020.
    14. Shuting Liu, Mingxing Zhu, Xueyu Liu, Oluwarotimi Williams Samuel, Xin Wang, Zhen Huang, Wanqing Wu, Shixiong Chen (*), and Guanglin Li, “Flexible noncontact electrodes for comfortable monitoring of physiological signals,” International Journal of Adaptive Control and Signal Processing, vol. 33, no. 8, pp. 1307–1318, Aug. 2019.
    15. Mingxing Zhu, Bin Yu, Wanzhang Yang, Yanbing Jiang, Lin Lu, Zhen Huang, Shixiong Chen (*), and Guanglin Li, “Evaluation of normal swallowing functions by using dynamic high-density surface electromyography maps,” BioMedical Engineering OnLine, vol. 16, no. 1, p. 133, Dec. 2017.
    16. Xiangxin Li#, Shixiong Chen (#), Haoshi Zhang, Oluwarotimi Williams Samuel, Hui Wang, Peng Fang, Xiufeng Zhang, and Guanglin Li (*), “Towards reducing the impacts of unwanted movements on identification of motion intentions,” Journal of Electromyography and Kinesiology, vol. 28, pp. 90–98, Jun. 2016.
    17. Jun Deng, Shixiong Chen (#), Xiaoping Zeng, and Guanglin Li (*), “Using a Dynamic Tracking Filter to Extract Distortion-Product Otoacoustic Emissions Evoked with Swept-Tone Signals,” IEEE Journal of Biomedical and Health Informatics, vol 18, no. 4, pp. 1186–1195, Jul. 2014.
    18. Shixiong Chen, Haoshi Zhang, Lan Wang, and Guanglin Li (*), “An in-situ calibration method and the effects on stimulus frequency otoacoustic emissions,” BioMedical Engineering OnLine, vol. 13, no. 1, p. 95, Dec. 2014.
    19. Fan Zhang#, Shixiong Chen (#), Haoshi Zhang, Xiufeng Zhang, and Guanglin Li (*), “Bioelectric signal detrending using smoothness prior approach,” Medical Engineering & Physics, vol. 36, no. 8, pp. 1007–1013, Aug. 2014.
    20. Shixiong Chen, Jun Deng, Lin Bian, and Guanglin Li (*), “Stimulus frequency otoacoustic emissions evoked by swept tones,” Hearing Research, vol. 306, pp. 104–114, Dec. 2013.