I'm a Ph.D. candidate in School of Electrical Engineering and Automation at Hefei University of Technology, and I'm now a visiting student in Faculty of Health Data Science at Juntendo University. Welcome to my GitHub page! You can also visit my academic homepage.

There are two reasons why we open-source our codes: One is that we have benefited from the open-source codes of those great contributors, so we hope our codes can help more people. The other reason is to allow more people to understand our valuable work more clearly through the codes.

If these codes are useful to you, please cite our work and share it with more people. Thank you very much!

• Applications: Physiological signal analysis; Human-exoskeleton interaction; Brain function connectivity analysis
• Algorithms: Deep learning menthods; Reinforcement learning methods; Control theory methods

• Ph.D. in School of Electrical Engineering and Automation, Hefei University of Technology, 2019.09-Present
• Ph.D. in Graduate School of Medicine, Juntendo University, 2023.04-Present (Visiting Student)
• M.Sc. in School of Electrical Engineering and Automation, Hefei University of Technology, 2016.09-2019.06
• B.Sc. in School of Electrical Engineering and Automation, Hefei University of Technology, 2012.06-2016.06

1. S. Wang, H. Tang*, F. Chen, et al, "Integrated Block-Wise Neural Network with Auto-Learning Search Framework for Finger Gesture Recognition using sEMG Signals, " Artificial Intelligence in Medicine, 2024, 149: 102777. Paper / Code
2. S. Wang, H. Tang*, B. Wang, et al, "A Novel Approach to Detecting Muscle Fatigue Based on sEMG by Using Neural Architecture Search Framework, " IEEE Transactions on Neural Networks ＆ Learning Systems, 2023, 34(8): 4932-4943. Paper / Code
3. S. Wang, H. Tang*, L. Gao, et al, "Continuous estimation of human joint angles from sEMG using a multi-feature temporal convolutional attention-based network, " IEEE Journal of Biomedical and Health Informatics, 2022, 26(11): 5461-5472. Paper / Code
4. H. Tang*, S. Wang, Q. Tan, et al, "A Double Threshold Adaptive Method for Robust Detection of Muscle Activation Intervals from Surface Electromyographic Signals, " IEEE Transactions on Instrumentation and Measurement, 2022, 71:1-12. Paper / Code
5. S. Wang, H. Tang*, B. Wang, et al, "Analysis of Fatigue in the Biceps Brachii by Using Rapid Refined Composite Multiscale Sample Entropy, " Biomedical Signal Processing and Control, 67(4):102510, 2021. Paper / Code

• Programming languages: Python/Matlab/C
• Engineering: PLC

• Email: wangsr@mail.hfut.edu.cn

Feel free to explore my repositories and get in touch if you have any questions or collaborations!

More codes are flying to you.