Lab Publication List

2024

  • Liu, J., Yuan, Y., Jiang, X., Guo, Y., Jia, F., & Dai, C.* (2024). A Robust and Real-Time Framework of Cross-Subject Myoelectric Control Model Calibration via Multi-Source Domain Adaptation. IEEE Journal of Biomedical and Health Informatics.
  • Fan, J., Jiang, X., Liu, X., Meng, L., Jia, F.*, & Dai, C.* (2024). Surface EMG feature disentanglement for robust pattern recognition. Expert Systems with Applications, 237, 121224.
  • Guo, Y., Liu, J., Wu, Y., Jiang, X., Wang, Y., Meng, L., Dai, C* & Chen, W. (2024). sEMG-Based Inter-Session Hand Gesture Recognition via Domain Adaptation with Locality Preserving and Maximum Margin. International Journal of Neural Systems, 34(3), 2450010-2450010
  • Shi, H., Jiang, X., Dai, C.*, & Chen, W. (2024). EMG-based Multi-User Hand Gesture Classification via Unsupervised Transfer Learning Using Unknown Calibration Gestures. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Accepted.
  • Li, J., Jiang, X., Liu, X., Jia, F.*, & Dai, C.* (2024). Optimizing the feature set and electrode configuration of high-density electromyogram via interpretable deep forest. Biomedical Signal Processing and Control, 87, 105445.
  • Wang, H., Bardizbanian, B., Zhu, Z., Wang, H., Dai, C., & Clancy, E. A. (2024). Evaluation of generic EMG-Torque models across two Upper-Limb joints. Journal of Electromyography and Kinesiology, 75, 102864.

2023

  • 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.
  • Liu, X., Zhang, D., Miao, K., Guo, Y., Jiang, X., Zhang, X., Jia, F.* & Dai, C. (2023). A Review on the Usability, Flexibility, Affinity, and Affordability of Virtual Technology for Rehabilitation Training of Upper Limb Amputees. Bioengineering, 10(11), 1301.
  • Jiang, X., Fan, J., Zhu, Z., Wang, Z., Guo, Y., Liu, X., Jia, F.*, & Dai, C.* (2023). Cybersecurity in neural interfaces: Survey and future trends. Computers in Biology and Medicine, 107604.
  • 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.
  • Jiang, X., Nazarpour, K., Dai, C.* (2023). Explainable and Robust Deep Forests for EMG-Force Modeling, IEEE Journal of Biomedical and Health Informatics.
  • 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.
  • 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, 27(4), 1914-1925
  • Fan, J., Jiang, X., Liu, X., Jia, F., Dai, C., Surface EMG Feature Disentanglement for Robust Hand Gesture Recognition. Expert Systems With Applications, Accepted
  • 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.
  • 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, 27(4), 1914-1925

2022

  • 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.
  • 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.
  • 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

  • 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

  • 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

  • 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

  • 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.
  • 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.
  • 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.
  • 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.

2017

  • 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
  • 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, 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.
  • 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

2016 &（Before）

  • 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.
  • 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.
  • 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, 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, 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.
  • 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).

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