2024
1. Xin Zhang, Lin He, Qiang Gao, Wensheng Hou, and Ning Jiang, “Performance of the Action Observation-Based Brain-Computer Interface in Stroke Patients and Gaze Metrics Analysis”, Accepted, IEEE Transactions on Neural Systems & Rehabilitation Engineering, Mar. 2024
2. Chuang Lin, Ziwei Cui, Chen Chen, Yanhong Liu, Chen Chen, and Ning Jiang, “A Fast Gradient Convolution Kernel Compensation Method for Surface Electromyogram Decomposition”, Accepted, Journal of Electromyography and Kinesiology, Feb. 2024 (DOI: 10.1016/j.jelekin.2024.102869)
3. Na Li, Rui Zhou, Bharath Krishna, Ashirbad Pradhan, Hyowon Lee, Jiayuan He, and Ning Jiang, “Non-invasive Techniques for Muscle Fatigue Monitoring: A Comprehensive Survey”, Accepted, ACM Computing Surveys, 2024 (DOI: 10.1145/3648679)
4. Jiayuan He, and Ning Jiang, “Fast Multi-Level Mental Stress Identification from Bispectrum-based Heart Rate Variability Feature”, IEEE Transactions on Industrial Informatics, Vol. 20, N. 2, pp. 1124-1133, Feb. 2024 (DOI: 10.1109/TII.2023.3262248)
5. Jiayuan He, Botao Xiong, Qigang Ran, Tao Zhang, Wei Wang, Ning Jiang, “Variation Minimization Based Electrocardiogram Artifacts Removal for Local Field Potentials from Neurostimulator”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 32, pp. 94-101, 2024 (DOI: 10.1109/TNSRE.2023.3341160)
2023
6. Jiayun He, Xinyue Niu, Penghui Zhao, Chang Lin and Ning Jiang, “From Forearm to Wrist: Deep Learning for Surface Electromyography-Based Gesture Recognition”, Accepted, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Dec. 2023
7. Nargess Heydari and Ning Jiang, “Heartbeat detection from high-density EMG electrodes on the upper arm at different EMG intensity levels using Zephlet”, Accepted, Computer Methods and Programs in Biomedicine, Sept. 2023 (DOI: 10.1016/jNaNpb.2023.107828)
8. Xin Zhang, Wensheng Hou, Yi Wang, Ning Jiang, “Low-Latency Asynchronous BCI by Detecting the Motion Onset VEP Induced by the Action Observation Stimulus in Senior”, Accepted, IEEE Transactions on Instrumentation & Measurement, Sept. 2023 (DOI: 10.1109/TIM.2023.3320759)
9. Xiaochu Wu, Tianyao Zhang, Yanhao Tu, Xueling Deng, Sigen A, Yuxiao Li, Xiaofan Jing, Lixuan Wei, Ning Huang, Ying Cheng, Linghui Deng, Shuli Jia, Jun li, Ning Jiang*, and Birong Dong*, “Multidomain Interventions for Non-pharmacological Enhancement (MINE) Program in Chinese Older Adults with Mild Cognitive Impairment: A Multicenter Randomized Controlled Trial Protocol”, Accepted, BMC Neurology, Sept, 2023 (DOI: 10.1186/s12883-023-03390-5)
10. Ashirbad Pradhan, Jiayuan He, Hyowon Lee, and Ning Jiang, “Multi-day Analysis of Wrist Electromyogram-based Biometrics for Authentication and Personal Identification”, IEEE Transactions on Biometrics, Behavior, and Identity Science, Vol. 5, No. 4, pp. 553-565, Oct. 2023 (DOI: 10.1109/TBIOM.2023.3299948)
11. Xi Yu, Yun Wang, Liyu Ran, Yang Jiang, Ming Chen, Hao Du, Yao Zhang, Diwei Wu, Xiaona Xiang, Jiawei Zhang, Ning Jiang, Hongchen He, Yueming Song, Zhou Xiang, Chengqi He, Zongke Zhou, Jianchen Zeng, Shi-shu Huang, Yong Xiang, Yunfeng Lin, “Tetrahedral framework nucleic acids inhibit muscular mitochondria-mediated apoptosis and ameliorate muscle atrophy in sarcopenia”, Accepted, Nano Letters, Jul. 2023 (DOI: 10.1021/acs.nanolett.3c01502)
12. Xiangyun Li , Qi Lu , Jiali Chen, Ning Jiang , and Kang Li, “A Robust Region Control Approach for Simultaneous Trajectory Tracking and Compliant Physical Human–Robot Interaction”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, No. 10, pp. 6388-6400, Oct. 2023 (DOI: 10.1109/TSMC.2023.3285603)
13. Jiayuan He, Ashirbad Pradhan, Hongcheng He and Ning Jiang, “Low-Latency Gesture Recognition from Spatial Filtering of Single-Element Ultrasound Signals”, IEEE Transactions on Instrumentation & Measurement, Vol. 72, pp. 251709, Jun. 2023 (DOI: 10.1109/TIM.2023.3271722)
14. Weiyu Guo, Ning Jiang, Dario Farina, Jingyong Su, Zheng Wang, Chuang Lin, “Multi-Attention Feature Fusion Network for Accurate Estimation of Finger Kinematics from Surface Electromyographic Signals”, IEEE Transactions on Human-Machine Systems, Vol. 53, No. 3, pp. 512-519, Jun. 2023 (DOI: 10.1109/THMS.2023.3252817)
15. Ning Jiang, Chen Chen, Jiayuan He, Jianjun Meng, Lizhi Pan, Shiyong Su and Xiangyang Zhu, “Bio-robotics research for non-invasive myoelectric neural-interfaces for prosthetic control —a ten-year perspective review”, Vol. 10, No. 5, National Science Review, May 2023 (DOI: 10.1093/nsr/nwad048)
16. Nargess Heydari Beni and Ning Jiang, “Heartbeat detection from a single-lead ECG contaminated with simulated EMG at different intensity levels: a comparative study”, Biomedical Signal Processing and Control, Vol. 83, pp. 104612, May 2023 (DOI: doi.org/10.1016/j.bspc.2023.104612)
17. Bharath Krishnan, Serena Zanelli, Sofiane Boudaoud, Léa Scapucciati, John McPhee, Ning Jiang, “Age-sensitive High-Density Surface Electromyogram Indices for Detecting Muscle Fatigue Using Core Shape Modelling”, Biomedical Signal Processing and Control, Vol. 81, pp. 10446, Mar. 2023 (DOI: 10.1016/j.bspc.2022.104446)
18. Li Ding, Qiang Sun, Ning Jiang, Jiayuan He, and Jie Jia, “The instant effect of embodiment via mirror visual feedback on electroencephalogram-based brain connectivity changes: A pilot study”, Frontiers in Neuroscience, Vo. 17, No. 1138406, Mar. 2023 (DOI: 10.3389/fnins.2023.1138406)
2022
19. Ashirbad Pradhan, Jiayuan He and Ning Jiang, “Multi-day dataset of forearm and wrist electromyogram for hand gesture recognition and biometrics”, Scientific Data, Vol. 9, 733, Nov. 2022 (DOI: 10.1038/s41597-022-01836-y)
20. Chuang Lin, Xingjian Chen, Weiyu Guo, Ning Jiang, Dario Farina, Jingyong Su, “A BERT based Method for Continuous Estimation of Cross-subject Hand Kinematics from Surface Electromyographic Signals”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 31, pp. 87-96, Oct. 2022 (DOI: 10.1109/TNSRE.2022.3216528)
21. Fatemeh Karimi, Quincy Almeida, and Ning Jiang, “Large-Scale Frontoparietal Theta, Alpha, and Beta Phase Synchronization: A Set of EEG Differential Characteristics for Freezing of Gait in Parkinson’s Disease?”, Frontiers in Aging Neuroscience, Vol. 14, pp. 988037, Oct. 2022 (DOI: 10.3389/fnagi.2022.988037)
22. Xin Zhang, Yi Jiang, Wensheng Hou, and Ning Jiang, “Age-related Differences in the Transient and Steady State Responses to Different Visual Stimuli”, Frontiers in Aging Neuroscience, Vol. 14, pp. 1004188, Sep. 2022 (DOI: 10.3389/fnagi.2022.1004188)
23. Lin Yao, Ning Jiang, Natalie Mrachacz-Kersting, Xiangyang Zhu, Dario Farina, Yueming Wang, “Performance Variation of a Somatosensory BCI based on Imagined Sensation: A Large Population Study”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 30, pp. 2486-2493, Aug. 2022 (DOI: 10.1109/TNSRE.2022.3198970)
24. Xiangyun Li, Peng Chen, Xi Yu, and Ning Jiang, “Analysis of the Relationship Between Motor Imagery and Age-Related Fatigue for CNN Classification of the EEG Data”, Frontiers in Aging Neuroscience, 14:909571. (DOI: 10.3389/fnagi.2022.909571), Jul. 2022
25. Lin Yao, Ning Jiang, Natalie Mrachacz-Kersting, Xiangyang Zhu, Dario Farina, Yueming Wang, “Reducing the Calibration Time in Somatosensory BCI by using tactile ERD”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 30, pp. 1870-1876, Jun. 2022 (DOI: 10.1109/TNSRE.2022.3184402)
26. Jiansheng Niu and Ning Jiang, “Pseudo-online detection and classification for upper-limb movements”, Journal of Neural Engineering, Vol. 19, pp. 036042, Jun. 2022 (DOI: 10.1088/1741-2552/ac77be)
27. Tea Lulic-Kuryllo, Francesco Negro, Ning Jiang, and Clark R. Dickerson, “Differential regional pectoralis major activation indicates functional diversity in healthy females”, Journal of Biomechanics, Vol. 133, pp. 110966, Mar. 2022 (DOI: 10.1016/j.jbiomech.2022.110966)
28. Ashirbad Pradhan, Jiayuan He, and Ning Jiang, “Score, Rank, and Decision-Level Fusion Strategies of Multicode Electromyogram-based Verification and Identification Biometrics”, IEEE Journal of Biomedical and Health Informatics, Vol. 26, No. 3, pp. 1068-1079, Mar. 2022 (DOI: 10.1109/JBHI.2021.3109595)
29. Aravind Ravi, Jing Lu, Sarah Pearce, and Ning Jiang, “Enhanced System Robustness of Asynchronous BCI in Augmented Reality using Steady-state Motion Visual Evoked Potential”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 30, pp. 85-95, Jan. 2022 (DOI: 10.1109/TNSRE.2022.3140772)
2021
30. Fatemeh Karimi, Jiansheng Niu, Kim Gouweleeuw, Quincy Almeida, and Ning Jiang, “Movement Related EEG Signatures of Freezing of Gait in Parkinson’s Disease: an Integrative Analysis”, Brain Communications, Vol. 3, No. 4, Nov. 2021 (DOI: 10.1093/braincomms/fcab277)
31. Ashirbad Pradhan, Jiayuan He, and Ning Jiang, “Performance Optimization of Surface Electromyography Based Biometric Sensing System for Both Verification and Identification”, IEEE Sensors Journal, Vol. 21, No. 19, Oct. 2021 (DOI: 10.1109/JSEN.2021.3079428)
32. Yuanpei Gao, Aravind Ravi, and Ning Jiang, “Effect of Competing Stimuli for Steady-state Visually Evoked Potential and Steady-state Motion Visually Evoked Potential”, IEEE Access, Vol. 9, pp. 129820-129829, Sep. 2021 (DOI: 10.1109/ACCESS.2021.3112218)
33. Xin Zhang, Wensheng Hou, Xiaoying Wu, Lin Chen, and Ning Jiang, “Enhancing Detection of SSMVEP Induced by Action Observation Stimuli based on Task-Related Component Analysis”, Sensors, Vol. 21, No. 16, pp. 5269, Aug. 2021 (DOI: 10.3390/s21165269)
34. Ali Nasr, Sydney Bell, Jiayuan He, Rachel Whittaker, Ning Jiang, Clark R. Dickerson, and John McPhee, “MuscleNET: mapping electromyography to kinematic and dynamic biomechanical variables by machine learning”, Journal of Neural Engineering, Vol. 18, pp. 04060d3, Aug. 2021 (DOI: 10.1088/1741-2552/ac1adc)
35. Tea Lulic-Kuryllo, Christopher Thompson, Ning Jiang, Francesco Negro, and Clark Dickerson, “Neural control of the healthy pectoralis major from low-to-moderate isometric contractions”, Journal of Neurophysiology, Vol. 126, No. 1, pp. 213-226, Jul. 2021 (DOI: 10.1152/jn.00046.2021)
36. Xin Zhang, Guanghua Xu, Aravind Ravi, Sarah Pearce, and Ning Jiang, “Can a Highly Accurate Multi-class SSMVEP BCI Induce Sensory-motor Rhythm in Sensorimotor Area?”, Journal of Neural Engineering, Vol. 18, No. 3, pp. 035001, Mar. 2021 (DOI: 10.1088/1741-2552/ab85b2)
37. Weiyu Guo, Chenfei Ma, Hang Zhang, Dario Farina, Ning Jiang, and Chuang Lin, “Long exposure convolutional memory network for accurate estimation of finger kinematics from surface electromyographic signals”, Vol. 18, No. 2, pp. 026027, Journal of Neural Engineering, Mar. 2021 (DOI: 10.1088/1741-2552/abd461)
38. Diana Cristina Ghinda, Benjamin Lambert, Junfeng Lu, Ning Jiang, Eve Tsai, Adam Sachs, Jin-Song Wu, Georg Northoff, “Scale-free analysis of intraoperative ECoG during awake craniotomy for glioma”, Vol. 10, pp. 625474, Frontiers in Oncology, Feb. 2021 (DOI: 10.3389/fonc.2020.625474)
39. Tea Lulic, Francesco Negro, Ning Jiang, and Clark Dickerson, “Standard bipolar surface EMG estimations mischaracterize pectoralis major activity in commonly performed tasks”, Journal of Electromyography and Kinesiology, Vol. 56, pp. 102509, Feb. 2021 (DOI: 10.1016/j.jelekin.2020.102509)
2020
40. Jiayuan He, Xinjun Sheng, Xiangyan Zhu, and Ning Jiang, “Position Identification for Robust Myoelectric Control against Electrode Shift”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 28, No. 12, pp. 3121-3128, Dec. 2020 (DOI: 10.1109/TNSRE.2020.3038374)
41. Li Ding, Jiayuan He, Lin Yao, Jinyang Zhuang, Shugeng Chen, Hewei Wang, Ning Jiang* and Jie Jia, “Mirror visual feedback combining vibrotactile stimulation promotes embodiment perception: an electroencephalogram (EEG) pilot study”, Frontiers in Bioengineering and Biotechnology, Vol. 8, pp. 553270, Oct. 2020 (DOI: 10.3389/fbioe.2020.553270) (*co-corresponding author)
42. Ashirbad Pradhan, Ning Jiang, Victoria Chester and Usha Kuruganti, “Linear Regression with Frequency Division Technique for Robust Simultaneous and Proportional Myoelectric Control during Medium and High Contraction-Level Variation”, Biomedical Signal Processing and Control, Vol. 61, No. 101984, Aug. 2020 (DOI: 10.1016/j.bspc.2020.101984)
43. Jiayuan He, Manas Vijay Joshi, Jason Chang, and Ning Jiang, “Efficient Correction of Armband Rotation for Myoelectric-based Gesture Control Interface”, Journal of Neural Engineering, Vol. 17, No. 3, pp. 036025, Jun. 2020 (DOI: 10.1088/1741-2552/ab8682)
44. Tengjun Liu, Gan Huang, Ning Jiang, Lin Yao, and Zhiguo Zhang, “Reduce Brain-Computer Interface Inefficiency by Combining Sensory Motor Rhythm and Movement-Related Cortical Potential Features”, Journal of Neural Engineering, Vol. 17, No. 3, pp. 035003, Jun. 2020 (DOI: 10.1088/1741-2552/ab914d)
45. Aravind Ravi, Nargess Heydari, Jacob Manuel and Ning Jiang, “Comparing User-Dependent and User-Independent Training of CNN for SSVEP BCI”, Journal of Neural Engineering, Vol. 17, No. 2, pp. 026028, Apr. 2020 (DOI: 10.1088/1741-2552/ab6a67)
46. Jiayuan He and Ning Jiang, “Biometric from Electromyogram (EMG): Biometric from Surface Electromyogram (sEMG): Feasibility of User Verification and Identification Based on Gesture Recognition”, Frontiers in Bioengineering and Biotechnology, Vol. 8, pp. 58, Feb. 2020 (DOI: 10.3389/fbioe.2020.00058)