近期论文
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2021年
[1].Zikang Zhou, Binghong Liang, Guowei Huang, Jinjin Nong, Biao Liu, and Longhan Xie*， Individualized Gait Generation for Rehabilitation Robots based on Recurrent Neural Networks，IEEE Transactions on Neural Systems & Rehabilitation Engineering，Accepted.
[2].Lie Yang, Yonghao Song, Ke Ma and Longhan Xie*，Motor Imagery EEG Decoding Method Based on a Discriminative Feature Learning Strategy，IEEE Transactions on Neural Systems & Rehabilitation Engineering，Accepted.
[3].Lie Yang, Yonghao Song, Ke Ma, Enze Su and Longhan Xie*，A novel motor imagery EEG decoding method based on feature separation，Journal of Neural Engineering，Accepted.
[4].Yan Chen, Song Yu, Qing Cai, Shuangyuan Huang, Ke Ma, Haiqing Zheng and Longhan Xie*, A Spasticity Assessment Method for Voluntary Movement using Data Fusion and Machine Learning, Biomedical Signal Processing and Control, vol.65, no.102353, 2021.3.
[5].Yan Chen, Ke Ma, Lie Yang, Song Yu, Siqi Cai, and Longhan Xie, Trunk Compensation Electromyography Features Purification and classification model using Generative Adversarial Network, Biomedical Signal Processing and Control, vol.65, no.102345, 2021.3.
2020年
[1].Longhan Xie, Siqi Cai, Jiehong Li, Xiaodong Li, Ledeng Huang and Guowei Huang，On Energy Harvesting from a Vehicle Damper， ASME/IEEE Transactions on Mechatronics，vol.25, iss.1, 2020.2 [影响因子4.9, SCI Q1]
[2].Siqi Cai; Xuyang Wei; Enze Su; Weifeng Wu; Haiqing Zheng; Longhan Xie*， Online compensation detecting for real-time reduction of compensatory motions during reaching: a pilot study with stroke survivors，Journal of NeuroEngineering and Rehabilitation, vol.17, article 58, 2020.4. [影响因子3.58, SCI Q1]
[3].Siqi Cai, Guofeng Li, Enze Su, Xuyang Wei, Shuangyuan Huang, Ke Ma, Haiqing Zheng and Longhan Xie*, Real-time detection of compensatory patterns in patients with stroke to reduce compensation during robotic rehabilitation therapy, IEEE Journal of Biomedical and Health Informatics, Accepted. DOI. 10.1109/JBHI.2019.2963365 [影响因子4.21， SCI Q1]
[4].Song Yu, Yan CHEN, Qing Cai, Ke Ma, Haiqing Zheng, Longhan Xie*，A Novel Quantitative Spasticity Evaluation Method Based on Surface Electromyogram Signals and Adaptive Neuro Fuzzy Inference System，Frontiers in Neuroscience，14, article 462, 2020.5 [影响因子3.65, SCI Q1]
[5].Lie Yang, Guanghua Hu, Yonghao Song, Guofeng Li, Longhan Xie*，Intelligent video analysis: A Pedestrian trajectory extraction method for the whole indoor space without blind areas，Computer Vision and Image Understanding, vol.196, article 102968, 2020.7 [影响因子2.645，SCI Q1]
[6].Yangjun Lin, Shaoyan Guo, Longhan Xie*, and Gu Xu, Multi-projection of unequal dimension optimal transport theory for generative adversary networks, Neural Networks, vol.128, pp.107-125, 2020.8
[7].Yonghao Song, Siqi Cai, Lie Yang, Guofeng Li, Weifeng Wu, Longhan Xie*,A Practical EEG-based Human-Machine Interface to Online Control an Upper-Limb Assist Robot, Frontiers in Neurorobotics , vol.14, article 32, 2020.7
[8].Ledeng Huang, Zhenhua Yang, Ruishi Wang, Longhan Xie*, Physiological and biomechanical effects on the human musculoskeletal system while carrying a suspended-load backpack, Journal of Biomechanics, Vol.108, article 109894, July 2020 (IF(2018)=2.576, Q1)
[9].Ledeng Huang, Ruishi Wang, Zhenhua Yang, Longhan Xie*,Energy Harvesting Backpacks for Human Load Carriage: Modelling and Performance Evaluation，Electronics, vol.9, issue 7, article 1061, 2020; (IF(2018)=1.76, Q1)
2019年
[6].Longhan Xie*, Guowei Huang, Ledeng Huang, Siqi Cai and Xiaodong Li，An Unpowered Flexible Lower-Limb Exoskeleton: Walking Assisting and Energy Harvesting，ASME/IEEE Transactions on Mechatronics，vol.24, issue5, pp.2236-2247, 2019.10, [影响因子4.9, SCI Q1]
[7].Longhan Xie, Xiaodong Li, Siqi Cai, Guowei Huang, Ledeng Huang：Knee-braced energy harvester: Reclaim energy and assist walking，Mechanical Systems and Signal Processing, vol.127, pp.172–189, 2019. [影响因子5.0, SCI Q1]
[8].Siqi Cai, Guofeng Li, Xiaoya Zhang, Shuangyuan Huang, Ke Ma, Yan Chen, Haiqing Zheng and Longhan Xie*, Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms, Journal of NeuroEngineering and Rehabilitation, Vol.16, Article No.131, 2019.11 [影响因子3.58, SCI Q1]
[9].Ke Ma, Yan Chen, Xiaoya Zhang, Haiqing Zheng, Song Yu, Siqi Cai, and Longhan Xie*，sEMG-based Trunk Compensation Detection in Rehabilitation Training，Frontiers in Neuroscience，vol.13, article 1250, 2019.11。[影响因子3.65, SCI Q1]
[10].Siqi Cai, Yan Chen, Shuangyuan Huang, Ke Ma, Yan Wu, Haiqing Zheng, Xin Li, Longhan Xie*, SVM-based classification of sEMG signals for upper-limb self-rehabilitation training，Frontiers in neurorobotics，vol.13, article 31, 2019.06. [影响因子3.0, SCI Q2]
[11].Siqi Cai, Guofeng Li, Shuangyuan Huang, Longhan Xie*，Automatic detection of compensatory movement patterns by a pressure distribution mattress using machine learning methods，IEEE Access，vol.7, issue 1, 2019.12 [影响因子4.1, SCI Q1]
[12].Shuangyuan Huang, Siqi Cai, Guofeng Li Ke Ma, Yan Chen, Haiqing Zheng and Longhan Xie*, sEMG-based detection of compensation causing by fatigue during rehabilitation therapy: A pilot study, IEEE Access，vol.7, issue 1, pp. 127055-127065, 2019.12. [影响因子4.1, SCI Q1]
[13].Yan Chen, Song Yu, Ke Ma, Shuangyuan Huang, Guofeng Li, Siqi Cai, Longhan Xie*, A continuous estimation model of upper limb joint angles by using surface electromyography and deep learning methods, IEEE Access，Vol.7, issue 1, pp. 174940-174950, 2019.12, [影响因子4.1, SCI Q1]
2018年及以前
[14].Xie,L.H. Li, J.H, Cai SQ, Li XD: Electromagnetic Energy-Harvesting Damper with Multiple Independently-Controlled Transducers: On-Demand Damping and Optimal Energy Regeneration, ASME/IEEE Transactions on Mechatronics, vol.22, no.6, pp.2705-2713, 2017.12. [影响因子4.9, SCI Q1]
[15].Xie, Longhan, Jiehong Li, Xiaodong Li, Ledeng Huang, and Siqi Cai. 'Damping-tunable energy-harvesting vehicle damper with multiple controlled generators: Design, modeling and experiments.' Mechanical Systems and Signal Processing, vol.99, pp. 859-872, 2018. [影响因子5.0, SCI Q1]
[16].Xie, Longhan; Li, Xiaodong; Cai, Siqi, Increased energy harvesting from backpack to serve as self-sustainable power source via a tube-like harvester, Mechanical Systems and Signal Processing, vol.96, pp.215-225, 2017. [影响因子5.0, SCI Q1]
[17].Xie,L.H. and Cai, M.J.: An In-shoe Harvester with Motion Magnification for Scavenging Energy from Human Footstep Motion, ASME/IEEE Transactions on Mechatronics, vol.20, no.6, 2015.12 10.1109/TMECH.2015.2428618. [影响因子4.9, SCI Q1]
[18].Xie,L.H. and Cai, M.J.: Increased Energy Harvesting and Reduced Accelerative Load for Backpacks via Frequency Tuning，Mechanical Systems and Signal Processing，Vol.58-59, pp. 399-415, 2015 [影响因子5.0, SCI Q1]
[19].Xie,L.H. and Cai, M.J.: “Develop a Suspended Backpack for Harvesting Biomechanical Energy”, Transactions of ASME: Journal of Mechanical Design, vol.137, no. 5, 054503. 2015 [影响因子2.8, SCI Q1]
[20].Xie,L.H. and Cai, M.J.: Increased Piezoelectric Energy harvesting from human footstep motion by using an amplifying mechanism, Applied Physics Letters, Vol.105, no.14, pp.143901-1~4, 2014.10. [影响因子3.5, SCI Q1]
[21].Xie,L.H., Ko, P.H. and Du,R.X.: “ The Mechanics of Spiral Springs and its Application in Timekeeping”, Transactions of ASME: Journal of Applied Mechanics, Vol.81(3), pp.034504, 2013.9. [影响因子2.77，SCI Q1]
[22].Xie,L.H. and Du,R.X.: “Frequency Tuning of a Nonlinear Electromagnetic Energy Harvester”, Transactions of ASME: Journal of Vibration and Acoustics, Vol.136(1), 011010 (Oct 23 2013); [影响因子1.93, SCI Q2]
[23].Xie,L.H. and Cai, M.J.: Human Motion: Sustainable Power for Wearable Electronics，IEEE Pervasive Computing, Vol.13, no.4, pp.42-49, Oct.2014. [影响因子3.8, SCI Q1]
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