期刊论文代表作：
1. Dai, C., Hu, X. (2019). Finger Joint Angle Estimation Based on Motoneuron Discharge Activities. IEEE Journal of Biomedical and Health Informatics. Accepted.
2. 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.
3. 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.
4. 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.
5. Dai, C., Cao, Y., Hu, X. (2019). Prediction of Individual Finger Forces Based on Decoded Motoneuron Activities. Annals of Biomedical Engineering, 1-12.
6. 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.
7. 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).
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
会议论文代表作：
1. Dai, C., Cao, Y., Hu, X. Estimation of Finger Joint Angle Based on Neural Drive Extracted from High-Density Electromyography. 40th International Conference of the IEEE Engineering in Medicine and Biology Society. Honolulu, HI, 2018.
2. Dai, C., Hu, X. High-Density Surface EMG Decomposition Through Blind Source Separation Algorithms. Society for Neuroscience. Washington, DC, 2017.
3. Dai, C., Martinez-Luna, C., Hunt, T., Zhu, Z., Farrell, T. R., Clancy, E.A. Two-DoF, Dynamic, EMG-Based Estimation of Hand-Wrist Forces with a Minimum Number of Electrodes. Myoelectric Controls and Upper Limb Prosthetics Symposium, Fredericton, New Brunswick, Canada, 2017.
4. Dai, C., Martinez-Luna, C., Hunt, T., Zhu, Z., Farrell, T. R., Clancy, E.A. System Identification of Two Degrees of Freedom EMG-Force at the Hand-Wrist Using Dynamic Models. Proceedings of the Twenty First Congress of the International Society of Electrophysiology and Kinesiology. Chicago, IL, 2016
5. Dai, C., Li, Y., Clancy, E. A., Christie, A., Bonato, P., McGill, K. C. Performance of Three Electromyogram Decomposition Algorithms as a Function of Signal to Noise Ratio: Assessment with Experimental and Simulated Data. 2014 IEEE Signal Processing in Medicine and Biology Symposium. Philadelphia, PA, 2014.
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