Shurun Wang

Shurun Wang

Hefei University of Technology

I am a doctoral student at the School of Electrical Engineering and Automation, Hefei University of Technology, and currently a research student at the Graduate School of Medicine, Juntendo University. I have published 5+ papers with .

My research interest includes:

  • Physiological signal analysis
  • Human-exoskeleton interaction
  • Brain function connectivity analysis

🎓 Educations

  • 2019.09 - 2024.06 Ph.D. in School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China.
  • 2023.04 - 2024.04 Ph.D. in Graduate School of Medicine, Juntendo University, Tokyo, Japan. (Research Student)
  • 2016.09 - 2019.06 M.Sc. in School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China.
  • 2012.09 - 2016.06 B.Sc. in School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China.

📝 Publications

Under Review

  • Shurun Wang, Hao Tang*, Ryutaro Himeno, et al. Estimating Lower Extremity Multi-Joint Kinematics with One IMU Sensor via Attention-based Temporal Convolutional Neural Network.

  • Shurun Wang, Hao Tang*, Ryutaro Himeno, et al. A Robust Denoising Diffusion Architecture for Completing Missing Regions of Multiple Physiological Signals.

  • Shurun Wang, Hao Tang*, Ryutaro Himeno, et al. Optimizing Graph Neural Network Architectures for Schizophrenia Spectrum Disorder Prediction Using Evolutionary Algorithms.

  • Shurun Wang, Hao Tang*, Zhaowu Ping, et al. Improved Data-Driven Model-Free Adaptive Control Method for an Upper Extremity Power-Assist Exoskeleton.

  • Shurun Wang, Hao Tang*, Ryutaro Himeno, et al. ECGDenoiser: A Magnitude-Aware Deep Learning Framework for Electrocardiogram Signal Enhancement.

2024

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Integrated Block-Wise Neural Network with Auto-Learning Search Framework for Finger Gesture Recognition using sEMG Signals
Shurun Wang, Hao Tang*, Feng Chen, et al.
Artificial Intelligence in Medicine, 2024 [code]

We propose an innovative auto-learning search framework (ALSF) based on a weighted double Q-learning (WDQ-learning) algo-rithm. The development of this framework is tailored to opti-mize the construction of neural networks to achieve superior gesture recognition performance.

2023

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A Novel Approach to Detecting Muscle Fatigue Based on sEMG by Using Neural Architecture Search Framework
Shurun Wang, Hao Tang*, Bin Wang, et al.
IEEE Transactions on Neural Networks ＆ Learning Systems, 2023 [code]

We propose a hierarchical exploration mechanism based on reinforcement learning to automatically generate high-performance CNN models, which can be used in detecting the muscle fatigue.

2022

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Continuous estimation of human joint angles from sEMG using a multi-feature temporal convolutional attention-based network
Shurun Wang, Hao Tang*, Lifu Gao, et al.
IEEE Journal of Biomedical and Health Informatics , 2022 [code]

We propose a multi-feature temporal convolutional attention-based network (MFTCAN) to estimate the joint angles.
We develop a joint training mechanism that integrates MFTCAN with traditional statistical algorithms such as KNR and SVR.

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A Double Threshold Adaptive Method for Robust Detection of Muscle Activation Intervals from Surface Electromyographic Signals
Hao Tang*, Shurun Wang, Qi Tan, et al.
IEEE Transactions on Instrumentation and Measurement , 2022 [code]

We develop a robust SampEn-based algorithm to overcome the influence of the motion artifacts and irregular tonic spikes.
We design a double threshold adaptive detection frame-work with interlocking structure to detect the onsets and offsets of muscle activation intervals.

2021

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Analysis of Fatigue in the Biceps Brachii by Using Rapid Refined Composite Multiscale Sample Entropy
Shurun Wang, Hao Tang*, Bin Wang, et al.
Biomedical Signal Processing and Control, 2021 [code]

We propose the rapid refined composite multiscale sample entropy (R2CMSE) to extract sEMG signal features, and this algorithm can describe the change process of muscle fatigue.

Patents

  • Hao Tang, Shurun Wang, Bin Wang. A method for human motion intention recognition based on network architecture search.（Chinese）

🏅 Honors and Awards

  • 2023.04 Sponsored by the China Scholarship Council
  • 2022.10 National scholarship for doctoral students

💬 News

  • Now     Visitors
  • 2023.08 Participate in the Brain/MINDS Data Portal Hackathon in RIKEN
  • 2022.09 Qi Liu and I have entered into matrimony