Faculty
DAI Chenyun

Center for Biomedical Engineering

Professional Title:Associate Professor

Position:Associate Professor

Email:chenyundai@fudan.edu.cn

Visiting Address:

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Research Interests

  • Biomedical Signal Processing

  • Neuroprosthesis

  • Exoskeleton

  • Bionic Robot

  • Pattern Recognition

Academic Positions

Reviewer Editor for

IEEE Transactions on Human-Machine Systems

IEEE Transactions on Signal Processing

Journal of NeuroEngineering and Rehabilitation

Physiological Measurement

Frontiers in Neurology

Education and Working Experience

Associate Professor, Feb, 2019 - now

Fudan University, Electrical Engineering

 

Post-Doc Fellow, Sept, 2016-Jan, 2019

University of North Carolina at Chapel Hill, Biomedical Engineering

 

Ph.D., Aug, 2013- Aug, 2016

Worcester Polytechnic Institute, Electrical and Computer Engineering

 

S.M., Aug, 2011-May, 2013

Worcester Polytechnic Institute, Electrical and Computer Engineering

 

B.S., Sept, 2006-June, 2010

Nanjing University of Aeronautics and Astronautics, Electrical Engineering and Automation

 

Publications

Representative Journal Paper:

1.     Dai, C., Hu, X. (2019). Independent Component Analysis based Algorithms for High-Density Electromyogram Decomposition: Systematic Evaluation through Simulation. Computers in Biology and Medicine.

2.     Dai, C., Hu, X. (2019). Independent Component Analysis based Algorithms for High-Density Electromyogram Decomposition: Experimental Evaluation of Upper Extremity Muscles. Computers in Biology and Medicine.

3.     Dai, C., Cao, Y., Hu, X. (2019). Prediction of Individual Finger Forces Based on Decoded Motoneuron Activities. Annals of Biomedical Engineering, 1-12.

4.     Dai, C., Martel, S., Martel, F., et al. (2019). Single-trial estimation of quasi-static EMG-to-joint-mechanical-impedance relationship over a range of joint torques. Journal of Electromyography and Kinesiology, 45: 18-25.

5.     Dai, C., Hu, X. (2019). Extracting and classifying spatial muscle activation patterns in forearm flexor muscles using high-density electromyogram recordings. International Journal of Neural Systems, 28:1850025 (15p).

6.     Dai, C., Zheng, Y., Hu, X. (2018). Estimation of muscle force based on neural drive in a hemispheric stroke survivor. Frontiers in Neurology, 9:187.

7.     Dai, C., Bardizbanian, B., Clancy, E. A. (2017). Comparison of constant-posture force-varying EMG-force dynamic models about the elbow. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(9): 1529-1538.

8.     Dai, C., Shin, H., Davis, B., Hu, X. (2017). Origins of common neural inputs to different compartments of the extensor digitorum communis muscle. Scientific Reports, 7:13960.

9.     Dai, C., Suresh N. L., Suresh A. K., Rymer W. Z., Hu X. (2017). Altered motor unit discharge coherence in paretic muscles of stroke survivors. Frontiers in Neurology, 8:202.

10.  Dai, C., Li, Y., Christie, A., Bonato, P., McGill, K. C., Clancy, E. A. (2015). Cross-comparison of three electromyogram decomposition algorithms assessed with experimental and simulated data. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23(1): 32–40.

 

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