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Publication search results
found 392 matches
- 2024
- Tan Zou, Ning Liu, Wenfeng Wang, Qinbiao Li, Lingguo Bu:
Longitudinal assessment of the effects of passive training on stroke rehabilitation using fNIRS technology. Int. J. Hum. Comput. Stud. 183: 103202 (2024) - Dilliraj Ekambaram, Vijayakumar Ponnusamy:
Real-time AI-assisted visual exercise pose correctness during rehabilitation training for musculoskeletal disorder. J. Real Time Image Process. 21(1): 2 (2024) - Yu Wang, Yang Tian, Yida Guo, Haoping Wang:
Active torque-based gait adjustment multi-level control strategy for lower limb patient-exoskeleton coupling system in rehabilitation training. Math. Comput. Simul. 215: 357-381 (2024) - Ye Ye, Ming-xia Zhu, Changwei Ou, Bingzhu Wang, Lu Wang, Nenggang Xie:
Online pattern recognition of lower limb movements based on sEMG signals and its application in real-time rehabilitation training. Robotica 42(2): 389-414 (2024) - Lijuan Shi, Runmin Wang, Jian Zhao, Jing Zhang, Zhejun Kuang:
Detection of Rehabilitation Training Effect of Upper Limb Movement Disorder Based on MPL-CNN. Sensors 24(4): 1105 (2024) - Niklas Kueper, Su Kyoung Kim, Elsa Andrea Kirchner:
EEG classifier cross-task transfer to avoid training sessions in robot-assisted rehabilitation. CoRR abs/2402.17790 (2024) - 2023
- Nooralisa Mohd Tuah, Daphne Lianeta Goh, Syed Nasirin, Fatimah Ahmedy, Mohammad Hossin:
Mapping Data Mining Technique and Gamification Approach for Studying Post-Stroke Rehabilitation Training: A Systematic Literature Review. IEEE Access 11: 31323-31340 (2023) - Lubo Fu, Haoyang Li, Hongfei Ji, Jie Li:
EEG-EMG Analysis Method in Hybrid Brain Computer Interface for Hand Rehabilitation Training. Comput. Informatics 42(3): 741-761 (2023) - Hui Liang, Shiqing Liu, Yi Wang, Junjun Pan, Yazhou Zhang, Xiaohang Dong:
Multi-user upper limb rehabilitation training system integrating social interaction. Comput. Graph. 111: 103-110 (2023) - Yingyuan Zhang, Weiguang Li, Jianwei Yang, Zhishuang Liu, Linna Wu:
Cutting-edge approaches and innovations in sports rehabilitation training: Effectiveness of new technology. Educ. Inf. Technol. 28(6): 6231-6248 (2023) - Dieter Hayn, Mahdi Sareban, Stefan Höfer, Fabian Wiesmüller, Karl Mayr, Norbert Mürzl, Michael Porodko, Christoph Puelacher, Lisa-Marie Moser, Marco Philippi, Heimo Traninger, Josef Niebauer:
Effect of digital tools in outpatient cardiac rehabilitation including home training - results of the EPICURE study. Frontiers Digit. Health 5 (2023) - Xiangyun Li, Qi Lu, Peng Chen, Shan Gong, Xi Yu, Hongchen He, Kang Li:
Assistance level quantification-based human-robot interaction space reshaping for rehabilitation training. Frontiers Neurorobotics 17 (2023) - Meby Mathew, Mervin Joe Thomas, M. G. Navaneeth, Shifa Sulaiman, A. N. Amudhan, A. P. Sudheer:
A systematic review of technological advancements in signal sensing, actuation, control and training methods in robotic exoskeletons for rehabilitation. Ind. Robot 50(3): 432-455 (2023) - Yi Xu, Jinglun Huang, Yajuan Yao, Chaofan Zeng:
Construction of Sports Rehabilitation Training Method Based on Virtual Reality. J. Circuits Syst. Comput. 32(2): 2350034:1-2350034:20 (2023) - Wenhua Jiao, Ruilin Li, Jianguo Wang, Dianhui Wang, Kuan Zhang:
Activity recognition in rehabilitation training based on ensemble stochastic configuration networks. Neural Comput. Appl. 35(28): 21229-21245 (2023) - Kun Qian, Zhenhong Li, Zhiqiang Zhang, Gu-Qiang Li, Sheng Quan Xie:
Data-Driven Adaptive Iterative Learning Control of a Compliant Rehabilitation Robot for Repetitive Ankle Training. IEEE Robotics Autom. Lett. 8(2): 656-663 (2023) - Liang Zhao, Yanheng Zhang, Zhixu Yin:
Training Path Optimization Method of a Moveable Multifunction Rehabilitation Robot. IEEE Robotics Autom. Lett. 8(3): 1651-1658 (2023) - Ping Sun, Rui Shan, Shuoyu Wang:
An Intelligent Rehabilitation Robot With Passive and Active Direct Switching Training: Improving Intelligence and Security of Human-Robot Interaction Systems. IEEE Robotics Autom. Mag. 30(1): 72-83 (2023) - Lijuan Shi, Feng Liu, Yuan Liu, Runmin Wang, Jing Zhang, Zisong Zhao, Jian Zhao:
Biofeedback Respiratory Rehabilitation Training System Based on Virtual Reality Technology. Sensors 23(22): 9025 (2023) - Suyao Wei, Zhihui Wu:
The Application of Wearable Sensors and Machine Learning Algorithms in Rehabilitation Training: A Systematic Review. Sensors 23(18): 7667 (2023) - Jianfeng Li, Yu Zhou, Mingjie Dong, Xi Rong:
Isokinetic Muscle Strength Training Strategy of an Ankle Rehabilitation Robot Based on Adaptive Gain and Cascade PID Control. IEEE Trans. Cogn. Dev. Syst. 15(1): 100-110 (2023) - Qing Miao, Zhijun Li, Kaiya Chu, Yudong Liu, Yuxin Peng, Shengquan Xie, Mingming Zhang:
Performance-Based Iterative Learning Control for Task-Oriented Rehabilitation: A Pilot Study in Robot-Assisted Bilateral Training. IEEE Trans. Cogn. Dev. Syst. 15(4): 2031-2040 (2023) - Jiaxing Wang, Weiqun Wang, Zeng-Guang Hou:
EEG-Based Focus of Attention Tracking and Regulation During Dual-Task Training for Neural Rehabilitation of Stroke Patients. IEEE Trans. Biomed. Eng. 70(3): 920-930 (2023) - Yves Zimmermann, Michael Sommerhalder, Peter Wolf, Robert Riener, Marco Hutter:
ANYexo 2.0: A Fully Actuated Upper-Limb Exoskeleton for Manipulation and Joint-Oriented Training in All Stages of Rehabilitation. IEEE Trans. Robotics 39(3): 2131-2150 (2023) - Zixuan Xu, Xingsong Wang, Mengqian Tian:
Evaluation criteria and data analysis of interactive design of virtual reality training system for upper limb rehabilitation of stroke patients. BDIOT 2023: 109-114 - Ma Jie, Suiran Yu:
A somatic game-based rehabilitation training system for mild cognitive impairment. CIPAE 2023: 172-177 - A. Alper Goksoy, Sizhe An, Ümit Y. Ogras:
Energy-Efficient On-Chip Training for Customized Home-based Rehabilitation Systems. DAC 2023: 1-6 - Yiran Jiao, Peter Fermin Dajime, Stacey Reading, Yanxin Zhang:
A VR-based Treadmill Training System for Post-stroke Gait Rehabilitation. EMBC 2023: 1-4 - Jun Hong Lim, Kaibo He, Zeji Yi, Chen Hou, Chen Zhang, Yanan Sui, Luming Li:
Adaptive Learning based Upper-Limb Rehabilitation Training System with Collaborative Robot. EMBC 2023: 1-5 - Laura Wuttke, Christian Bühler, Linda Dziarstek, Yvonne Söffgen:
Participation Through Innovation - Mixed Reality in Vocational Rehabilitation Training to Prepare for the Labour Market 4.0 (Project EdAL MR 4.0). HCI (11) 2023: 161-170
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