Education

B.S. in Shanghai Jiao Tong University, Mechanical Engineering, 2014
- GPA: 92.49/100, Rank: 1/142
Ph.D in Shanghai Jiao Tong University, Mechanical Engineering, 2023 (expected)
- Zhiyuan Honarable Doctorate Program

Publications

Subject-Specific EMG Modeling with Multiple Muscles: A Preliminary Study [<font color=#ffffff>Demo</font>]
Shihan Ma, Chen Chen, Dong Han, Xinjun Sheng, Dario Farina, Xiangyang Zhu
Conference: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
DOI: 10.1109/EMBC44109.2020.9175286

Adaptive real-time identification of motor unit discharges from non-stationary high-density surface electromyographic signals
Chen Chen, Shihan Ma, Xinjun Sheng, Dario Farina, Xiangyang Zhu
April 2020, IEEE Transactions on Biomedical Engineering PP(99):1-1
DOI: 10.1109/TBME.2020.2989311

EMG Signal Filtering based on Variational Mode Decomposition and Sub-band Thresholding
Shihan Ma, Bo Lv, Chuang Lin, Xinjun Sheng, Xiangyang Zhu April 2020, IEEE Journal of Biomedical and Health Informatics PP(99):1-1
DOI: 10.1109/JBHI.2020.2987528

Hand gesture recognition based on motor unit spike trains decoded from high-density electromyography
Chen Chen, Yang Yu, Shihan Ma,Chuang Lin, Xinjun Sheng, Xiangyang Zhu
August 2019, Biomedical Signal Processing and Control 55
DOI: 10.1016/j.bspc.2019.101637

Estimation of Motor Unit Global Firing Rate by Maximum Power Amplitude PPT
Shihan Ma, Chen Chen Bo Lv, Xinjun Sheng, Xiangyang Zhu
Conference: 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
DOI: 10.1109/EMBC.2019.8857676

Shanghai Jiao Tong University, Biomechatronics and Biorobotics Laboratory: September 2018 - Present
Research Assistent, focusing on surface electromyogram (EMG) modelling and EMG signal processing.
Co-advised by Prof. Xiangyang Zhu and Prof. Dario Farina.
University of Illinois at Urbana-Champaign, DynamicRobotics Laboratory: June 2017 - September 2017
Visiting Student, focusing on foot design for quadruped robots with wall climbing capability.
Advised by Prof. Hae Won Park,
Shanghai Jiao Tong University, Biomechatronics and Biorobotics Laboratory: April 2016 - April 2017
Aim to develop a wearable system for accurate gesture recognition.

27 July 2019: Estimation of Motor Unit Global Firing Rate by Maximum Power Amplitude
Signal Processing and Classification of Electromyographic Signals (Oral Session)