个人简介
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
研究领域
Biomedical Signal Processing
Neuroprosthesis
Exoskeleton
Bionic Robot
Pattern Recognition
近期论文
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一作或通讯期刊论文
Jiang, X., Xu, K., Liu, X., Dai, C.*, Clifton, D., Clancy, E. A., Akay, M., Chen, W.* (2020). Neuromuscular Password-based User Authentication. IEEE Transactions on Industrial Informatics. Accepted.
Jiang, X., Ren, H., Xu, K., Ye, X., Dai, C.*, Clancy, E. A., Zhang, Y., Chen, W.* (2020).Quantifying Spatial Activation Patterns of Motor Units in Finger Extensor Muscles.IEEE Journal of Biomedical and Health Informatics. Accepted.
Dai, C., Hu, X. (2020). Finger Joint Angle Estimation Based on Motoneuron Discharge Activities. IEEE Journal of Biomedical and Health Informatics. 24(3):760-767.
Chen, Y., Dai,C.* and Chen, W.* (2020). Cross-comparison of EMG-to-Force methods for Multi-DoF Finger Force Prediction using One-DoF training, IEEE Access, 8:13958 - 13968.
Dai, C., Zhu, Z., Martinez-Luna, C., Hunt, T. R., Farrell, T. R., Clancy, E. A. (2019). Two degrees of freedom, dynamic, hand-wrist EMG-force using a minimum number of electrodes. Journal of Electromyography and Kinesiology, 47: 10-18.
Dai, C., Hu, X. (2019). Independent Component Analysis based Algorithms for High-Density Electromyogram Decomposition: Systematic Evaluation through Simulation. Computers in Biology and Medicine. 109, 171-181.
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. 108, 42-48.
Dai, C., Cao, Y., Hu, X. (2019). Prediction of Individual Finger Forces Based on Decoded Motoneuron Activities. Annals of Biomedical Engineering, 1-12.
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.
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).
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.
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.
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.
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.
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.
学术兼职
Reviewer Editor for
IEEE Transactions on Human-Machine Systems
IEEE Transactions on Signal Processing
Journal of NeuroEngineering and Rehabilitation
Physiological Measurement
Frontiers in Neurology
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