3044永利

1. 针对瘫痪病人的植入式人造脊髓与人造神经系统、以及外周辅助运动康复系统。
2. 基于用户意图识别的智能人机交互系统，包括神经义肢与外骨骼、虚拟鼠标、无人机飞行、体感游戏等。
3. 基于神经生物信号的身份认证系统。
4. 针对失语者的无声语言识别系统。

招收有电路设计、嵌入式开发、AI算法或机械设计等良好电子信息工程相关背景的学生。希望所招收的学生怀揣着对科研的理想与兴趣，并且具备对研究课题良好的自我驱动力与执行力。本人重度二次元中二病患者，希望自己的学生也有着将科幻照进现实的信念，例如让全瘫者重新站立行走、让截肢者重获四肢、让失语者重新说话等。

现为下列期刊审稿人/编委：

客座主编：Frontiers in Neuroscience

编委：Frontiers in Neurology, Frontiers in NeuroRobotics, Frontiers in Neuroscience

审稿人：IEEE Transactions on Human-Machine Systems, IEEE Transactions on Signal Processing, IEEE Transactions on Neural System and Rehabilitation Engineering, IEEE Transactions on Biomedical Engineering, IEEE Internet of Things, Journal of NeuroEngineering and Rehabilitation等

2006/09-2010/06，南京航空航天大学，电气工程及自动化，本科

2011/09-2013/05，美国伍斯特理工学院，电气及计算机工程，硕士

2013/09-2016/08，美国伍斯特理工学院，电气及计算机工程，博士

2016/09-2019/01，美国北卡罗来纳大学教堂山分校，生物医学工程，博士后

2020/03-2021/06，上海市发展与改革委员会

2019/02至今，3044永利电子工程系，青年副研究员

秋季研究生课程，机器学习

秋季本科生课程，工程数学

课题组开发了目前肌电领域最全的高密度肌电开源研究平台，包含了最全面高密度肌电实验数据及所有普适性的相关研究算法的代码（运动模式识别、运动轨迹拟合以及运动神经元解码），欢迎使用。相关研究成果详情请查阅：
       研究方法与结果：Open Access Dataset, Toolbox and Benchmark Processing Results of High-Density Surface Electromyogram Recordings. IEEE Transactions on Neural Systems and Rehabilitation Engineering. http://doi.org/10.1109/TNSRE.2021.3082551
       数据与代码：Open Access Dataset and Toolbox of High-Density Surface Electromyogram Recordings (version 1.0.0). PhysioNet. https://doi.org/10.13026/ym7v-bh53.

SCI/EI论文（星号为通讯作者）:

2023年：

Jiang, X., Nazarpour, K., Dai, C. * (2023). Explainable and Robust Deep Forests for EMG-Force Modeling, IEEE Journal of Biomedical and Health Informatics, Accepted.

Wu,Y,..., Dai, C.* & Chen, W.* (2023). linical Validation of a Capacitive Electrocardiogram Cushion Utilized for Arrhythmias Monitoring. IEEE Transactions on Instrumentation and Measurement, Accepted.

Long, Y., Geng, Y., Dai, C., & Li, G. (2023). A Transfer Learning based Cross-subject Generic Model for Continuous Estimation of Finger Joint Angles from a New User. IEEE Journal of Biomedical and Health Informatics, Accepted.

Li, J., Zhu, Z., Boyd, W. J., Martinez-Luna, C., Dai, C., Wang, H., ... & Clancy, E. A. (2023). Virtual regression-based myoelectric hand-wrist prosthesis control and electrode site selection using no force feedback. Biomedical Signal Processing and Control, 82, 104602.

2022年：

Meng, L.,..., Dai, C.* & Chen, W.* (2022). User-Tailored Hand Gesture Recognition System for Wearable Prosthesis and Armband Based on Surface Electromyogram. IEEE Transactions on Instrumentation and Measurement, Accepted.

Meng, L.,..., Dai, C.* & Chen, W.* (2022). Automatic Upper-Limb Brunnstrom Recovery Stage Evaluation via Daily Activity Monitoring. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Accepted.

Jiang, X., Liu, X., Fan, J., Dai, C. *, Clancy, E. A. & Chen, W. * (2022). Random Channel Masks for Regularization of Least Squares-Based Finger EMG-Force Modeling to Improve Cross-Day Performance. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Accepted.

Jiang, X., Meng, L., Liu, X., Fan, J., Ye, X., Dai, C. * & Chen, W. * (2022). Optimizing the Cross-Day Performance of Electromyogram Biometrics Decoder. IEEE Internet of Things Journal, Accepted.

Jiang, X., Liu, X., Fan, J., Ye, X., Dai, C. *, Clancy, E. A. & Chen, W. *  (2022). Measuring Neuromuscular Electrophysiological Activities to Decode HD-sEMG Biometrics for Cross-Application Discrepant Personal Identification in Smart Environment. IEEE Transactions on Instrumentation and Measurement, Accepted.

Ren, H., Zou, L., Wang, L., Lu, C., Yuan, Y., Dai, C.* and Chen, W. * (2022). fNIRS-Based Dynamic Functional Connectivity Reveals the Innate Musical Sensing Brain Networks in Preterm Infants. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Accepted.

Jiang, X., Liu, X., Fan, J., Ye, X., Dai, C. *, Clancy, E. A., Farina, D., & Chen, W. * (2022). Optimization of HD-sEMG based Cross-Day Hand Gesture Classification by Optimal Feature Extraction and Data Augmentation.  IEEE Transactions on Human-machine Systems, Accepted.

Meng, L., Chen, Q., Jiang, X., Liu, X., Fan, J., Dai, C.*, & Chen, W.* (2022). Evaluation of decomposition parameters for high-density surface electromyogram using fast independent component analysis algorithm. Biomedical Signal Processing and Control, 75, 103615.

Fan, J., Jiang, X., Liu, X., Zhao, X., Ye, X., Dai, C.*, Clancy, E. A., Akay, M., & Chen, W. * (2022). Cancelable HD-sEMG Biometric Identification Via Deep Feature Learning. IEEE Journal of Biomedical and Health Informatics, 22(4), 1782 - 1793.

Zhu, Z., Li, J., Boyd, W. J., Martinez-Luna, C., Dai, C., Wang, H., ... & Clancy, E. A. (2022). Myoelectric Control Performance of Two Degree of Freedom Hand-Wrist Prosthesis by Able-Bodied and Limb-Absent Subjects.  IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 893 - 904.

Fan, J., Zhu, H., Jiang, X., Meng, L., Chen, C., Fu, C., Dai, C. & Chen, W. (2022). Unsupervised Domain Adaptation by Statistics Alignment for Deep Sleep Staging Networks. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 205 - 216.

Guo, Y., ..., Dai, C., Chen, W.* & Chen, C*. (2022). Epileptic Seizure Detection by Cascading Isolation Forest-based Anomaly Screening and EasyEnsemble. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 915 - 924.

2021年：

Jiang, X., Liu, X., Fan, J., Ye, X., Dai, C. *, Clancy, E. A., Farina, D., & Chen, W. * (2021). Enhancing IoT Security via Cancelable HD-sEMG-based Biometric Authentication Password, Encoded by Gesture. IEEE Internet of Things Journal, 8(22),16535 - 16547.

Ren, H., Zou, L., Wang, L., Lu, C., Yuan, Y., Dai, C.* and Chen, W. * (2021). Evaluation of the short-term music therapy on brain functions of preterm infants using functional Near-infrared Spectroscopy. Frontiers in Neurology, 1634.

Liu, X., Zhou, M., Geng, Y., Meng, L., Wan, H., Ren, H., Dai, C. & Ye, X. (2021). Changes in synchronization of the motor unit in muscle fatigue condition during the dynamic and isometric contraction in the Biceps Brachii muscle. Neuroscience Letters, 761, 136101.

Wang, H., Rajotte, K. J., Wang, H., Dai, C., Zhu, Z., Huang, X., & Clancy, E. A. (2021). Simplified Optimal Estimation of Time-Varying Electromyogram Standard Deviation (EMGσ): Evaluation on Two Datasets. Sensors, 21(15), 5165.

Jiang, X., Liu, X., Fan, J., Ye, X., Dai, C. *, Clancy, E. A., Akay, M., & Chen, W. * (2021). Open Access Dataset, Toolbox and Benchmark Processing Results of High-Density Surface Electromyogram Recordings. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, 1035-1046.

Jiang, X., Dai, C.*, Liu, x., & Fan, J. (2021). Open Access Dataset and Toolbox of High-Density Surface Electromyogram Recordings (version 1.0.0). PhysioNet. https://doi.org/10.13026/ym7v-bh53.

Jiang, X., Bardizbanian, B., Dai, C. *, Chen, W. *, & Clancy, E. A. (2021). Data Management for Transfer Learning Approaches to Elbow EMG-Torque Modeling. IEEE Transactions on Biomedical Engineering, 68(8), 2592-2601.

Jiang, X., Xu, K., Liu, X., Dai, C. *, Clifton, D. A., Clancy, E. A., Akay, M., & Chen, W. * (2021). Cancelable HD-sEMG-based Biometrics for Cross-Application Discrepant Personal Identification. IEEE Journal of Biomedical and Health Informatics, 25(4), 1070-1079.

Jiang, X., Ren, H., Xu, K., Ye, X., Dai, C. *, Clancy, E. A., Zhang, Y., & Chen, W. * (2021). Quantifying Spatial Activation Patterns of Motor Units in Finger Extensor Muscles. IEEE Journal of Biomedical and Health Informatics, 25(3), 647-655.

Jiang, X., Xu, K., Liu, X., Dai, C. *, Clifton, D. A., Clancy, E. A., Akay, M., & Chen, W. * (2021). Neuromuscular Password-based User Authentication. IEEE Transactions on Industrial Informatics, 17(4), 2641-2652.

Guo, Y., Liu, X., Peng, S., Jiang, X., Xu, K., Chen, C., Z. Wang, Dai, C. *& Chen, W. * (2021). A Review of Wearable and Unobtrusive Sensing Technologies for Chronic Disease Management. Computers in Biology and Medicine, 104163.

Meng, L., Zhang, A., Chen, C., Wang, X., Jiang, X., Tao, L., Fan, J., Wu, X., Dai, C., Zhang, Y., Vanrumste, B & Chen, W. (2021). Exploration of Human Activity Recognition Using a Single Sensor for Stroke Survivors and Able-Bodied People. Sensors, 21(3), 799.

2020年：

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.

Zhu, Z., Martinez-Luna, C., Li, J., McDonald, B. E., Dai, C., Huang, X., ... & Clancy, E. A. (2020). EMG-Force and EMG-Target Models During Force-Varying Bilateral Hand-Wrist Contraction in Able-Bodied and Limb-Absent Subjects. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(12), 3040-3050.

Ren, H., Jiang, X., Xu, K., Chen, C., Yuan, Y., Dai, C., & Chen, W. (2020). A Review of Cerebral Hemodynamics During Sleep Using Near-Infrared Spectroscopy. Frontiers in Neurology, 11, 1535.

Liu, X., Zhou, M., Dai, C., Chen, W., & Ye, X. (2020). Generalized Finger Motion Classification Model Based on Motor Unit Voting. Motor Control, 1(aop), 1-17.

Fan, J., Sun, C., Chen, C., Jiang, X., Liu, X., Zhao, X., Meng, L., Dai, C., & Chen, W. (2020). EEG data augmentation: Towards class imbalance problem in sleep staging tasks. Journal of Neural Engineering, 17(5), 056017.

Xu, K., Jiang, X., Dai, C., & Chen, W. (2020). Stochastic Modeling for Photoplethysmography Compression. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 5925–5928.

Rajotte, K. J., Wang, H., Wang, H., Dai, C., Zhu, Z., Huang, X., & Clancy, E. A. (2020). Simplified Optimal Estimation of Time-Varying Electromyogram Standard Deviation (EMGσ). 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 3122–3125.

Peng, S., Xu, K., Bao, S., Yuan, Y., Dai, C., & Chen, W. (2020). Flexible Electrodes based Smart Mattress for Monitoring Physiological Signals of Heart and Autonomic Nerves in A Non-Contact Way. IEEE Sensors Journal, 21(1), 6-15.

Xu, K., Jiang, X., Lin, S., Dai, C., & Chen, W. (2020). Stochastic Modeling based Nonlinear Bayesian Filtering for Photoplethysmography De-noising in Wearable Devices. IEEE Transactions on Industrial Informatics, 16(11), 7219-7230.

Zhang, R., Jiang, X., Dai, C., & Chen, W. (2020). Tensor-based Uncorrelated Multilinear Discriminant Analysis for Epileptic Seizure Prediction. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 541–544.

Chen, Y., Dai, C.*, & 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.

Jiang, X., Xu, K., Liu, X., Liu, D., Dai, C.*, & Chen, W.* (2020). High-Density Surface Electromyogram-based Biometrics for Personal Identification. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 728–731.

Bardizbanian, B., Zhu, Z., Li, J., Huang, X., Dai, C., Martinez-Luna, C., McDonald, B. E., Farrell, T. R., & Clancy, E. A. (2020). Efficiently Training Two-DoF Hand-Wrist EMG-Force Models. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 369–373. 

2019年：

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., & 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., 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., Martel, S., Martel, F., Rancourt, D., & Clancy, E. A. (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., Cao, Y., & Hu, X. (2019). Prediction of individual finger forces based on decoded motoneuron activities. Annals of Biomedical Engineering, 47(6), 1357–1368.

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, 29(01), 1850025.

Chen, Y., Dai, C.* & Chen, W. * (2019). A Real-time EMG-controlled Functional Electrical Stimulation System for Mirror Therapy. 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1–4.

Chen, Y., Jiang, X., Dai, C.* & Chen, W. * (2019). New Channel Merging Methods for Multi-DoF Force Prediction of Finger Contractions. 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1–4.

Wang, H., Rajotte, K. J., Wang, H., Dai, C., Zhu, Z., Bhuiyan, M., Huang, X., & Clancy, E. A. (2019). Optimal Estimation of EMG Standard Deviation in Additive Measurement Noise: Model-Based Derivations and Their Implications. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(12), 2328–2335.

Lan, N., Niu, C. M., Hao, M., Chou, C.-H., & Dai, C. (2019). Achieving Neural Compatibility With Human Sensorimotor Control in Prosthetic and Therapeutic Devices. IEEE Transactions on Medical Robotics and Bionics, 1(3), 122–134.

2018年及以前：

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., 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.

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., Cao, Y., & Hu, X. (2018). Estimation of Finger Joint Angle Based on Neural Drive Extracted from High-Density Electromyography. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 4820–4823.

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(1). https://doi.org/10.1038/s41598-017-14555-x

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(MAY). https://doi.org/10.3389/fneur.2017.00202

Bardizbanian, B., Zhu, Z., Li, J., Dai, C., Martinez-Luna, C., Huang, X., Farrell, T., & Clancy, E. A. (2018). Calibration of Dynamic Hand-Wrist EMG-Force Models using a Minimum Number of Electrodes. 2018 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1–2.

Bardizbanian, B., Zhu, Z., Li, J., Dai, C., Martinez-Luna, C., Huang, X., Farrell, T., & Clancy, E. A. (n.d.). 2018 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Temple University, Philadelphia, PA, 1 December 2018.

Dai, C., & Farrell, T. R. (2016). Two degrees of freedom quasi-static EMG-force at the wrist using. Studies of the Relationship between the Surface Electromyogram, Joint Torque and Impedance, 2016, 94.

Clancy, E. A., Dai, C., Wartenberg, M., Martinez-Luna, C., Hunt, T. R., & Farrell, T. R. (2015). A pilot study assessing ipsilateral vs. Contralateral feedback in emg-force models of the wrist for upper-limb prosthesis control. 2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1–8.

Dai, Z., Li, C., Wang, X., Shu, H., Zhang, K., & Dai, C. (2017). A new laparoscopic technique of inguinal ligament suspension for vaginal vault prolapse. International Journal of Surgery, 43, 131–136.

Zhu, Z., Wartenberg, M., Clancy, E. A., Dai, C., Martinez-Luna, C., & Farrell, T. R. (2017). A pilot study of two degrees of freedom dynamic EMG-force at the wrist using a minimum number of electrodes. 2017 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1–6.

Li, Y., Dai, C., Clancy, E. A., Christie, A., Bonato, P., & McGill, K. C. (2013). Cross-comparison between two multi-channel EMG decomposition algorithms assessed with experimental and simulated data. 2013 39th Annual Northeast Bioengineering Conference, 191–192.

Fylstra, B. L., Dai, C., Hu, X., & Huang, H. H. (2018). Characterizing Residual Muscle Properties in Lower Limb Amputees Using High Density EMG Decomposition: A Pilot Study. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 5974–5977.

Dai, C. (2016). Studies of the relationship between the surface electromyogram, joint torque and impedance.

Dai, C. (2013). Cross-Comparison of Three Electromyogram Decomposition Algorithms Assessed with Simulated and Experimental Data.

Zhu, Q., Shu, H., Du, G., Dai, Z. & Dai, C. (2018). Impact of transvaginal modified sacrospinous ligament fixation with mesh for the treatment of pelvic organ prolapse-before and after studies. International Journal of Surgery, 52, 40–43.

Dai, C., Li, Y., Clancy, E. A., Bonato, P., Christie, A., & McGill, K. C. (2014). 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 (SPMB), 1–6.

Li, C., Dai, Z., Shu, H., Zhang, K., & Dai, C. Laparoscopic Inguinal Ligament Suspension for Vaginal Vault Prolapse: Video Step-by-Step. Videoscopy, 27(6).

Clancy, E. A., Martinez-Luna, C., Wartenberg, M., Dai, C., & Farrell, T. R. (2017). Two degrees of freedom quasi-static EMG-force at the wrist using a minimum number of electrodes. Journal of Electromyography and Kinesiology, 34. https://doi.org/10.1016/j.jelekin.2017.03.004