General

Chen Shixiong, PhD Supervisor, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences

Email: sx.chen@siat.ac.cn

Mailing address: No. 1068, Xili Xueyuan Avenue, Nanshan District, Shenzhen

Postal code: 518055

部门/实验室:集成所

Research Areas

Measurement and processing of biomedical signals, technical development and clinical applications of medical instruments.

Education

2007-2012, PhD in Speech and Hearing Sciences, Arizona State University

2005-2007, Master in Biomedical Engineering, Tsinghua University

2001-2005, Bachelor in Biomedical Engineering, Tsinghua University

Experience

   
Work Experience

2020-Present: Professor, Shenzhen Institutes of Advanced Technology

2015-2019: Associate Professor, Shenzhen Institutes of Advanced Technology

2012-2014: Assistant Professor, Shenzhen Institutes of Advanced Technology

Teaching Experience

2014: Digital Signal Processing (Undergraduate)

2015: Digital Signal Processing (Undergraduate)

2016: Digital Signal Processing (Undergraduate)

2017: Digital Signal Processing (PhD)

2018: Digital Signal Processing (PhD)

2019: Digital Signal Processing (PhD & Master)

2020: Digital Signal Processing (Master)

Publications

[1] Xin Wang, Mingxing Zhu, Oluwarotimi Williams Samuel, Xiaochen Wang, Haoshi Zhang, Junjie Yao, Yun Lu, Mingjiang Wang, Subhas Chandra Mukhopadhyay, Wanqing Wu, Shixiong Chen, and Guanglin Li, “The Effects of Random Stimulation Rate on Measurements of Auditory Brainstem Response,” Frontiers in Human Neuroscience, vol. 14, p. 78, 2020, doi: 10.3389/fnhum.2020.00078.

[2] Yun Lu, Mingjiang Wang, Wanqing Wu, Yufei Han, Qiquan Zhang, and Shixiong Chen, “Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals,” Measurement, vol. 150, p. 107003, Jan. 2020, doi: 10.1016/j.measurement.2019.107003.

[3] Yun Lu, Mingjiang Wang, Wanqing Wu, Qiquan Zhang, Yufei Han, Tasleem Kausar, Shixiong Chen, Ming Liu, and Bo Wang, “Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals,” Complexity, vol. 2020, pp. 1–17, Jan. 2020, doi: 10.1155/2020/4625218.

[4] Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Yanjuan Geng, Olugbenga Oluwagbemi, Ji Ning, Shixiong Chen, Naik Ganesh, Pang Feng, and Guanglin Li, “Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses,” Computer Methods and Programs in Biomedicine, vol. 184, p. 105278, Feb. 2020, doi: 10.1016/j.cmpb.2019.105278.

[5] Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Yanjuan Geng, Xiangxin Li, Sandeep Pirbhulal, Shixiong Chen, Naik Ganesh, Pang Feng, and Guanglin Li, “Spatio-Temporal Based Descriptor for Limb Movement-Intent Characterization in EMG-Pattern Recognition System,” in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul. 2019, pp. 2637–2640, doi: 10.1109/EMBC.2019.8857638.

[6] Zhiyuan Liu, Hui Wang, Pingao Huang, Jianping Huang, Yu Zhang, Yuanyuan Wang, Mei Yu, Shixiong Chen, Dianpeng Qi, Ting Wang, Ying Jiang, Geng Chen, Guoyu Hu, Wenlong Li, Jiancan Yu, Yifei Luo, Xian Jun Loh, Bo Liedberg, Guanglin Li, et al., “Highly Stable and Stretchable Conductive Films through Thermal‐Radiation‐Assisted Metal Encapsulation,” Advanced Materials, vol. 31, no. 35, p. 1901360, Aug. 2019, doi: 10.1002/adma.201901360.

[7] Mingxing Zhu, Zhen Huang, Xiaochen Wang, Jiashuo Zhuang, Haoshi Zhang, Xin Wang, Zijian Yang, Lin Lu, Peng Shang, Guoru Zhao, Shixiong Chen, and Guanglin Li, “Contraction Patterns of Facial and Neck Muscles in Speaking Tasks Using High-Density Electromyography,” in 2019 13th International Conference on Sensing Technology (ICST), Dec. 2019, pp. 1–5, doi: 10.1109/ICST46873.2019.9047731.

[8] Xin Wang, Shuting Liu, Mingxing Zhu, Xiaochen Wang, Zhenzhen Liu, Yanbing Jiang, Dan Wang, Peng Li, Oluwarotimi Williams Samuel, Wanqing Wu, Shixiong Chen, and Guanglin Li, “Performance of Flexible Non-contact Electrodes in Bioelectrical Signal Measurements,” in 2019 IEEE International Conference on Real-time Computing and Robotics (RCAR), Aug. 2019, pp. 175–179, doi: 10.1109/RCAR47638.2019.9044127.

[9] Yanbing Jiang, Shurui Sun, Peng Li, Shixiong Chen, Guanglin Li, Dan Wang, Zhenzhen Liu, Jingqian Tan, Oluwarotimi Williams Samuel, Hanjie Deng, Xin Wang, Mingxing Zhu, and Xiaochen Wang, “Comparing Auditory Brainstem Responses evoked by Click and Sweep-Tone in Normal-Hearing Adults,” in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul. 2019, pp. 5237–5240, doi: 10.1109/EMBC.2019.8856452.

[10] Mingxing Zhu, Zijian Yang, Jiashuo Zhuang, Xiaochen Wang, Lin Lu, Haoshi Zhang, Jianping Huang, Hanjie Deng, Peng Shang, Guoru Zhao, Wanzhang Yang, Shixiong Chen, and Guanglin Li, “Comparison of English and Chinese Speech Recognition Using High-Density Electromyography,” in 2019 13th International Conference on Sensing Technology (ICST), Dec. 2019, pp. 1–5, doi: 10.1109/ICST46873.2019.9047706.

[11] Dan Wang, Jingqian Tan, Yanbing Jiang, Mingxing Zhu, Zhenzhen Liu, Xin Wang, Xiaochen Wang, Peng Li, Shixiong Chen, Zhen Gao, and Guanglin Li, “Using Kalman Filter to Process Auditory Brainstem Responses in Subjects with Normal Hearing,” in 2019 IEEE International Conference on Real-time Computing and Robotics (RCAR), Aug. 2019, pp. 656–660, doi: 10.1109/RCAR47638.2019.9043940.

[12] 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, Nov. 2019, doi: 10.1016/j.future.2019.10.034.

[13] 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, doi: 10.1002/acs.2993.

[14] Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Yanjuan Geng, Ali H. Al-Timemy, Sandeep Pirbhulal, Ning Ji, Shixiong Chen, Peng Fang, and Guanglin Li, “Intelligent EMG Pattern Recognition Control Method for Upper-Limb Multifunctional Prostheses: Advances, Current Challenges, and Future Prospects,” IEEE Access, vol. 7, pp. 10150–10165, 2019, doi: 10.1109/ACCESS.2019.2891350.

[15] Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Yanjuan Geng, Shixiong Chen, Deogratias Mzurikwao, Peng Fang, and Guanglin Li, “Effect of Window Conditioning Parameters on the Classification Performance and Stability of EMG-Based Feature Extraction Methods,” in 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS), Oct. 2018, pp. 576–580, doi: 10.1109/CBS.2018.8612246.

[16] Menglong Fu, Jinwei Xue, Pingao Huang, Zhenxin Chen, Wenhao Wei, Guanglin Li, and Shixiong Chen, “Research on Recognition of Forearm sEMG Signal Based on Different Motion Modes,” in 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS), Oct. 2018, pp. 581–584, doi: 10.1109/CBS.2018.8612195.

[17] Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Yanjuan Geng, Sandeep Pirbhulal, Deogratias Mzurikwao, Shixiong Chen, Peng Fang, and Guanglin Li, “Determining the Optimal Window Parameters for Accurate and Reliable Decoding of Multiple Classes of Upper Limb Motor Imagery Tasks,” in 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS), Oct. 2018, pp. 422–425, doi: 10.1109/CBS.2018.8612159.

[18] Mingxing Zhu, Lin Lu, Zijian Yang, Xin Wang, Zhenzhen Liu, Wenhao Wei, Fei Chen, Peng Li, Shixiong Chen, and Guanglin Li, “Contraction Patterns of Neck Muscles during Phonating by High-Density Surface Electromyography,” in 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS), Oct. 2018, pp. 572–575, doi: 10.1109/CBS.2018.8612181.

[19] Yanjuan Geng, Tianbao Sun, Oluwarotimi Williams Samuel, Shixiong Chen, Xuyan Xing, Xin Guo, and Guanglin Li, “Improving the Robustness of Myoelectric Control System Using Linear Regression Classifier,” in 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS), Oct. 2018, pp. 483–488, doi: 10.1109/CBS.2018.8612199.

[20] Mingxing Zhu, Oluwarotimi Williams Samuel, Zijian Yang, Wanhua Lin, Zhen Huang, Peng Fang, Jingqian Tan, Peng Li, Michael Chifai Tong, Karman Kaying Leung, Shixiong Chen, and Guanglin Li, “Using Muscle Synergy to Evaluate the Neck Muscular Activities during Normal Swallowing,” in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul. 2018, vol. 2018-July, pp. 2454–2457, doi: 10.1109/EMBC.2018.8512760.

[21] Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Yanjuan Geng, Shixiong Chen, Pang Feng, Lin Chuang, Lin Wang, and Guanglin Li, “A Novel Time-Domain Descriptor for Improved Prediction of Upper Limb Movement Intent in EMG-PR System,” in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul. 2018, vol. 2018-July, pp. 3513–3516, doi: 10.1109/EMBC.2018.8513015.

[22] Pin-gao Huang, Zhenxin Chen, Menglong Fu, Hui Wang, Oluwarotimi Williams Samuel, Zhiyuan Liu, Yongmei Hu, Peng Fang, Shixiong Chen, Xiaodong Chen, and Guanglin Li, “A Novel Flexible Sensor for Muscle Shape Change Monitoring in Limb Motion Recognition,” in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul. 2018, vol. 2018-July, pp. 4665–4668, doi: 10.1109/EMBC.2018.8513101.

[23] Shuting Liu, Xueyu Liu, Yanbing Jiang, Xin Wang, Pingao Huang, Hui Wang, Mingxing Zhu, Jingqian Tan, Peng Li, Chuang Lin, Guanghe Zhang, Shixiong Chen, and Guanglin Li, “Flexible Non-contact Electrodes for Bioelectrical Signal Monitoring,” in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul. 2018, vol. 2018-July, pp. 4305–4308, doi: 10.1109/EMBC.2018.8513306.

[24] Mojisola G. Asogbon Samuel, Oluwarotimi Williams Samuel, Yanjuan Geng, Paul Oluwagbenga Idowu, Shixiong Chen, Naik Ganesh R, Pang Feng, and Guanglin Li, “Enhancing the Robustness of EMG-PR Based System against the Combined Influence of Force Variation and Subject Mobility,” in 2018 3rd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS), Jul. 2018, pp. 12–17, doi: 10.1109/ACIRS.2018.8467236.

[25] Yuanlong Cao, Guanghe Zhang, Fanghua Liu, Ilsun You, Guanglou Zheng, Oluwarotimi Williams Samuel, and Shixiong Chen, “Muscle Activity-Driven Green-Oriented Random Number Generation Mechanism to Secure WBSN Wearable Device Communications,” Wireless Communications and Mobile Computing, vol. 2018, pp. 1–11, Aug. 2018, doi: 10.1155/2018/3403456.

[26] Yanjuan Geng, Yatao Ouyang, Oluwarotimi Williams Samuel, Shixiong Chen, Xiaoqiang Lu, Chuang Lin, and Guanglin Li, “A Robust Sparse Representation Based Pattern Recognition Approach for Myoelectric Control,” IEEE Access, vol. 6, pp. 38326–38335, 2018, doi: 10.1109/ACCESS.2018.2851282.

[27] Yanbing Jiang, Oluwarotimi Samuel, Xueyu Liu, Xin Wang, Paul Idowu, Peng Li, Fei Chen, Mingxing Zhu, Yanjuan Geng, Fengxia Wu, Shixiong Chen, and Guanglin Li, “Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies,” Applied Sciences, vol. 8, no. 2, p. 276, Feb. 2018, doi: 10.3390/app8020276.

[28] Mingxing Zhu, Faya Liang, Oluwarotimi Williams Samuel, Shixiong Chen, Wanzhang Yang, Lin Lu, Haiqing Zou, Peng Li, and Guanglin Li, “A pilot study on the evaluation of normal phonating function based on high-density sEMG topographic maps,” in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul. 2017, pp. 1030–1033, doi: 10.1109/EMBC.2017.8037002.

[29] Yanbing Jiang, Ning Ji, Hui Wang, Xueyu Liu, Yanjuan Geng, Peng Li, Shixiong Chen, and Guanglin Li, “Comparison of different shielding methods in acquisition of physiological signals,” in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul. 2017, pp. 2325–2328, doi: 10.1109/EMBC.2017.8037321.

[30] Oluwarotimi Williams Samuel, Xiangxin Li, Yanjuan Geng, Pang Feng, Shixiong Chen, and Guanglin Li, “Motor imagery classification of upper limb movements based on spectral domain features of EEG patterns,” in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul. 2017, pp. 2976–2979, doi: 10.1109/EMBC.2017.8037482.

[31] Hui Wang, Lei Wang, Yun Xiang, Ning Zhao, Xiangxin Li, Shixiong Chen, Chuang Lin, and Guanglin Li, “Assessment of elbow spasticity with surface electromyography and mechanomyography based on support vector machine,” in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul. 2017, pp. 3860–3863, doi: 10.1109/EMBC.2017.8037699.

[32] 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, doi: 10.1186/s12938-017-0424-x.

[33] Guanghe Zhang, Oluwarotimi Williams Samuel, Fanghua Liu, Shixiong Chen, Hui Zhou, Haoshi Zhang, and Guanglin Li, “Electromyogram-based method to secure wireless body sensor networks for rehabilitation systems,” in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul. 2017, pp. 1246–1249, doi: 10.1109/EMBC.2017.8037057.

[34] Ning Ji, Yanbing Jiang, Zijian Yang, Xiaobei Jing, Hui Wang, Yue Zheng, Zeyang Xia, Shixiong Chen, Lisheng Xu, and Guanglin Li, “An active electrode design for weak biosignal measurements,” in 2016 IEEE 13th International Conference on Signal Processing (ICSP), Nov. 2016, vol. 0, pp. 502–507, doi: 10.1109/ICSP.2016.7877885.

[35] Xiangxin Li, Rui Xu, Oluwarotimi Williams Samuel, Lan Tian, Haiqing Zou, Xiufeng Zhang, Shixiong Chen, Peng Fang, and Guanglin Li, “A new approach to mitigate the effect of force variation on pattern recognition for myoelectric control,” in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Aug. 2016, vol. 2016-Octob, pp. 1684–1687, doi: 10.1109/EMBC.2016.7591039.

[36] Hui Zhou, Ning Ji, Oluwarotimi Samuel, Yafei Cao, Zheyi Zhao, Shixiong Chen, and Guanglin Li, “Towards Real-Time Detection of Gait Events on Different Terrains Using Time-Frequency Analysis and Peak Heuristics Algorithm,” Sensors, vol. 16, no. 10, p. 1634, Oct. 2016, doi: 10.3390/s16101634.

[37] 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, doi: 10.1016/j.jelekin.2016.03.005.

[38] Shixiong Chen, Yanbing Jin, Lisheng Xu, and Guanglin Li, “Effects of contralateral acoustic stimulation on otoacoustic emissions induced by swept tones,” in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Aug. 2015, vol. 2015-Novem, pp. 2733–2736, doi: 10.1109/EMBC.2015.7318957.

[39] 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, doi: 10.1109/JBHI.2013.2285558.

[40] Xiangxin Li, Shixiong Chen, Haoshi Zhang, Xiufeng Zhang, and Guanglin Li, “Effects of non-training movements on the performance of motion classification in electromyography pattern recognition,” in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug. 2014, pp. 2569–2572, doi: 10.1109/EMBC.2014.6944147.

[41] 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, doi: 10.1016/j.medengphy.2014.05.009.

[42] 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, 2014, doi: 10.1186/1475-925X-13-95.

[43] 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, doi: 10.1016/j.heares.2013.09.016.

[44] Shixiong Chen, Jun Deng, Lin Bian, and Guanglin Li, “A new method to estimate sound energy entering the middle ear,” in 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul. 2013, pp. 29–32, doi: 10.1109/EMBC.2013.6609429.

[45] Xiaojuan Shen, Shixiong Chen, and Guanglin Li, “Role for gene sequence, codon bias and mRNA folding energy in modulating structural symmetry of proteins,” in 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul. 2013, pp. 596–599, doi: 10.1109/EMBC.2013.6609570.

[46] Shixiong Chen, Jun Deng, Lin Bian, and Guanglin Li, “A new method of hearing loss screening using otoacoustic emissions evoked by swept tones,” First IEEE Healthcare Innovation Conference, vol. 1, no. 1. Houston, Texas, USA, pp. 240–243, 2012.

[47] Shixiong Chen, Lin Bian, Christopher A. Shera, and Elizabeth S. Olson, “Cochlear Gain Control Estimated from Distortion Product Otoacoustic Emissions Evoked by Amplitude Modulated Tones,” in AIP Conference Proceedings, 2011, vol. 1403, no. 1, pp. 601–607, doi: 10.1063/1.3658156.

[48] Lin Bian and Shixiong Chen, “Behaviors of cubic distortion product otoacoustic emissions evoked by amplitude modulated tones,” The Journal of the Acoustical Society of America, vol. 129, no. 2, pp. 828–839, Feb. 2011, doi: 10.1121/1.3531813.

[49] Lin Bian and Shixiong Chen, “Comparing the optimal signal conditions for recording cubic and quadratic distortion product otoacoustic emissions,” The Journal of the Acoustical Society of America, vol. 124, no. 6, pp. 3739–3750, Dec. 2008, doi: 10.1121/1.3001706.


Patents
   

Students

现指导学生

汪鑫  硕士研究生  081104-模式识别与智能系统  

朱明星  博士研究生  081104-模式识别与智能系统  

王小晨  硕士研究生  085211-计算机技术  

袁思敏  硕士研究生  085210-控制工程  

王程  硕士研究生  085211-计算机技术  

Honors & Distinctions

Shenzhen Overseas High-level Talents "Peacock Plan" Talents, Shenzhen Nanshan District "Pilot Talents", Shenzhen High-level Professional Talents Reserve Level Talents, Deputy Director of Shenzhen Neurorehabilitation Technology Engineering Laboratory.