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  戴晨赟

  長聘教軌副教授，博士生導師。戴晨赟博士於2023年加入意昂4体育平台💇🏿，長期致力於包括神經假肢/外骨骼、人造脊髓、醫療機器人的研究🪂，旨在利用醫療芯片結合電子信息與生物醫學技術實現對人體器官的功能替代🏨，以實現患者康復的目的。近三年發表論文50余篇🫎，主持國家自然科學基金2項及省部級項目2項，並獲得上海海外高層次人才、浦江人才等榮譽。戴博士的研究註重產學研轉化，其研究成果已轉化為多款商業化假肢產品並被美國波士頓電視臺追蹤報道，並受華為中央研究院資助研發華為手表中的人機交互模塊🥐。此外，戴博士曾任職於上海市發展和改革委員會，推進多項政府的產學研政策改革，並撰寫了上海市“十四五”規劃科技先導產業發展一章。

2013年8月-2016年8月，伍斯特理工意昂4，工程意昂4🤹🏼‍♂️，電氣及計算機工程系，博士

2011年8月-2013年5月，伍斯特理工意昂4🌦，工程意昂4🧏🏻🧒🏽，電氣及計算機工程系，碩士

2006年9月-2010年6月，南京航空航天大學，自動化意昂4🎀，電氣工程系🧙🏽‍♀️，本科

2016年9月-2019年1月，北卡羅來納大學教堂山分校，醫意昂4，生物醫學工程系🦸🏽‍♀️，博士後

2019年2月-2023年6月，復旦大學，信息科學與工程意昂4，生物醫學工程中心，副研究員

2023年7月-今，意昂4平台，意昂4体育平台，長聘教軌副教授

2020年3月-2021年6月🧑🏿‍🎄，上海市發展和改革委員會（全職借調），主要負責上海市戰略性新興與先導產業“十四五”規劃📦、上海市腦機接口市級重大科技專項評審等工作

基於電子電路技術研發智能人機交互硬件系統；基於人工智能技術的用戶意圖識別算法🧘🏼‍♀️；相關硬件與算法的嵌入式或上位機軟件開發🪺。課題組研究偏重產學研結合，註重實際硬件系統的臨床應用，多款產品已實現商業化落地。

主要研究方向如下🤽🏻‍♂️🏊：

1🧘🏻🌤、針對癱瘓病人的植入式人造脊髓與人造神經系統、以及外周輔助運動康復系統

2020年國家自然科學基金青年項目，主持

2019年上海市浦江人才，主持

2020年上海市自然科學基金，主持

2022年華為中央研究院項目，主持

2022年科技部2030項目，骨幹

第一或通訊作者（*為通訊作者）sci論文列表：

2023年：

Fan, J., Jiang, X., Liu, X., Jia, F., Dai, C.*. (2023). Surface EMG Feature Disentanglement for Robust Hand Gesture Recognition. Expert Systems With Applications, Accepted

Guo, Y.,..., Dai, C.*, & Chen, W. (2023). sEMG-based Inter-Session Hand Gesture Recognition via Domain Adaptation with Locality Preserving and Maximum Margin. International Journal of Neural Systems, Accepted
Wu, Y., Jiang, X., Guo, Y., Zhu, H., Dai, C.*, & Chen, W. (2023). Physiological measurements for driving drowsiness: a comparative study of multi-modality feature fusion and selection. Computers in biology and medicine, 167, 107590.
Jiang, X., Fan, J., Zhu, Z., Wang, Z., Guo, Y., Liu, X., ... & Dai, C.* (2023). Cybersecurity in neural interfaces: Survey and future trends. Computers in Biology and Medicine, 107604.
Li, J., Jiang, X., Liu, X., Jia, F., & Dai, C.* (2023). Optimizing the feature set and electrode configuration of high-density electromyogram via interpretable deep forest. Biomedical Signal Processing and Control, 87, 105445.

Tan, X., Jiang, X., Lin, Z., Liu, X., Dai, C.*, & Chen, W. (2023). Extracting spatial muscle activation patterns in facial and neck muscles for silent speech recognition using high-density sEMG. IEEE Transactions on Instrumentation and Measurement, Accepted

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). Clinical Validation of a Capacitive Electrocardiogram Cushion Utilized for Arrhythmias Monitoring. IEEE Transactions on Instrumentation and Measurement, 72, 1-13.

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, 71, 1-16.

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, 30, 2589-2599.

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, 30, 2157-2167.

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, 10(5), 4388-4402.

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, 71, 1-15.

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, 30, 1806-1816.

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, 52(6), 1281-1291.

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.

2021年：

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.

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.

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.

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.

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., 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.

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.

2020年及以前🐻‍❄️：

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.

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.

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., 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).

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.

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.