| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Faizan Zaffar Kashoo, Raid Saleem Al-Baradie, Msaad Alzahrani, Ahmad Alanazi, Md Dilshad Manzar, Anchit Gugnani, Mohammad Sidiq, Mohammad Abu Shaphe, Mohamed Sherif Sirajudeen, Mehrunnisha Ahmad, Bader Althumayri, Abdullah Aljandal, Ahmed Almansour, Shady Abdullah Alshewaier, Aksh Chaha. Effect of Transcranial Direct Current Stimulation Augmented with Motor Imagery and Upper-Limb Functional Training for Upper-Limb Stroke Rehabilitation: A Prospective Randomized Controlled Trial. International journal of environmental research and public health. vol 19. issue 22. 2022-11-26. PMID:36429924. |
the purpose of the study was to determine the effect of combining tdcs with motor imagery (mi) and upper-limb functional training for upper-limb rehabilitation among patients with chronic stroke. |
2022-11-26 |
2023-08-14 |
Not clear |
| Jong-Bae Choi, Seo-Won Yang, Sung-Ryong M. The Effect of Action Observation Combined with Motor Imagery Training on Upper Extremity Function and Corticospinal Excitability in Stroke Patients: A Randomized Controlled Trial. International journal of environmental research and public health. vol 19. issue 19. 2022-10-14. PMID:36231353. |
the effect of action observation combined with motor imagery training on upper extremity function and corticospinal excitability in stroke patients: a randomized controlled trial. |
2022-10-14 |
2023-08-14 |
Not clear |
| Jong-Bae Choi, Seo-Won Yang, Sung-Ryong M. The Effect of Action Observation Combined with Motor Imagery Training on Upper Extremity Function and Corticospinal Excitability in Stroke Patients: A Randomized Controlled Trial. International journal of environmental research and public health. vol 19. issue 19. 2022-10-14. PMID:36231353. |
this study aimed to investigate the effect of motor imagery (mi) intervention with action observation (ao) on upper extremity function and corticospinal activation in stroke patients. |
2022-10-14 |
2023-08-14 |
Not clear |
| Li Juan Zhao, Lin Hong Jiang, Hong Zhang, Yang Li, Pingping Sun, Yang Liu, Rui Q. Effects of Motor Imagery Training for Lower Limb Dysfunction in Patients with Stroke A Systematic Review and Meta-Analysis of Randomized Controlled Trials. American journal of physical medicine & rehabilitation. 2022-09-28. PMID:36170751. |
effects of motor imagery training for lower limb dysfunction in patients with stroke a systematic review and meta-analysis of randomized controlled trials. |
2022-09-28 |
2023-08-14 |
Not clear |
| Salem Mansour, Joshua Giles, Kai Keng Ang, Krishnan P S Nair, Kok Soon Phua, Mahnaz Arvane. Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain-computer interface. Scientific reports. vol 12. issue 1. 2022-09-28. PMID:36171400. |
we analyzed a large eeg dataset from 136 stroke patients who performed motor imagery of their stroke-impaired hand. |
2022-09-28 |
2023-08-14 |
Not clear |
| Meiai Lin, Jianli Huang, Jianming Fu, Ya Sun, Qiang Fan. A VR-Based Motor Imagery Training System with EMG-Based Real-Time Feedback for Post-Stroke Rehabilitation. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. vol PP. 2022-09-27. PMID:36166567. |
supported by the mirror neuron theory, motor imagery (mi) has been proposed as a potential stroke therapy capable of facilitating the rehabilitation. |
2022-09-27 |
2023-08-14 |
Not clear |
| Meiai Lin, Jianli Huang, Jianming Fu, Ya Sun, Qiang Fan. A VR-Based Motor Imagery Training System with EMG-Based Real-Time Feedback for Post-Stroke Rehabilitation. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. vol PP. 2022-09-27. PMID:36166567. |
to investigate the feasibility of this newly-built rehabilitation training system, four experiments namely initial assessment experiment, motor imagery (mi), action observation (ao), and combined motor imagery and action observation (mi+ao) were carried out on stroke patients at different recovery stages. |
2022-09-27 |
2023-08-14 |
Not clear |
| Jiayang Zhang, Kang L. A Pruned Deep Learning Approach for Classification of Motor Imagery Electroencephalography Signals. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2022. 2022-09-10. PMID:36085842. |
the deep learning (dl) approach has been gaining much popularity in recent years in the development of electroencephalogram (eeg) based motor imagery (mi) brain-computer interface (bci) systems, aiming to improve the performance of existing stroke rehabilitation strategies. |
2022-09-10 |
2023-08-14 |
Not clear |
| Cihan Uyanik, M Ahmed Khan, Iris C Brunner, John P Hansen, Sadasivan Puthusserypad. Machine Learning for Motor Imagery Wrist Dorsiflexion Prediction in Brain-Computer Interface Assisted Stroke Rehabilitation. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2022. 2022-09-10. PMID:36086493. |
machine learning for motor imagery wrist dorsiflexion prediction in brain-computer interface assisted stroke rehabilitation. |
2022-09-10 |
2023-08-14 |
Not clear |
| Fatemeh Khademi, Georgios Naros, Ali Nicksirat, Dominic Kraus, Alireza Gharabagh. Rewiring cortico-muscular control in the healthy and post-stroke human brain with proprioceptive beta-band neurofeedback. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2022-08-08. PMID:35940874. |
in male and female chronic stroke patients with hand paralysis, a brain-computer interface controlled a robotic orthosis and turned sensorimotor beta-band desynchronization during motor imagery (mi) of finger extension into contingent hand opening. |
2022-08-08 |
2023-08-14 |
human |
| Fangzhou Xu, Gege Dong, Jincheng Li, Qingbo Yang, Lei Wang, Yanna Zhao, Yihao Yan, Jinzhao Zhao, Shaopeng Pang, Dongju Guo, Yang Zhang, Jiancai Len. Deep Convolution Generative Adversarial Network-Based Electroencephalogram Data Augmentation for Post-Stroke Rehabilitation with Motor Imagery. International journal of neural systems. 2022-07-26. PMID:35881016. |
the motor imagery brain-computer interface (mi-bci) system is currently one of the most advanced rehabilitation technologies, and it can be used to restore the motor function of stroke patients. |
2022-07-26 |
2023-08-14 |
Not clear |
| Ghadir Ali Altuwaijri, Ghulam Muhamma. Electroencephalogram-Based Motor Imagery Signals Classification Using a Multi-Branch Convolutional Neural Network Model with Attention Blocks. Bioengineering (Basel, Switzerland). vol 9. issue 7. 2022-07-25. PMID:35877374. |
classifying motor imagery (mi) using eeg signals is one of the important applications that can help a stroke patient to rehabilitate or perform certain tasks. |
2022-07-25 |
2023-08-14 |
Not clear |
| Ping Xie, Zihao Wang, Zengyong Li, Ying Wang, Nianwen Wang, Zhenhu Liang, Juan Wang, Xiaoling Che. Research on Rehabilitation Training Strategies Using Multimodal Virtual Scene Stimulation. Frontiers in aging neuroscience. vol 14. 2022-07-18. PMID:35847664. |
therefore, virtual rehabilitation technology that integrates the motor imagery brain-computer interface and virtual reality technology has been applied to the field of stroke rehabilitation and has evolved into a physical rehabilitation training method. |
2022-07-18 |
2023-08-14 |
human |
| Ping Xie, Zihao Wang, Zengyong Li, Ying Wang, Nianwen Wang, Zhenhu Liang, Juan Wang, Xiaoling Che. Research on Rehabilitation Training Strategies Using Multimodal Virtual Scene Stimulation. Frontiers in aging neuroscience. vol 14. 2022-07-18. PMID:35847664. |
we compared and analyzed the degree of neural activation and the recognition rate of motor imagery in stroke patients after motor imagery training using stimulation of different virtual scenes, the results show that under the three scenarios, the order of degree of neural activation and the recognition rate of motor imagery from high to low is: vr scenes, dynamic scenes, static scenes. |
2022-07-18 |
2023-08-14 |
human |
| N Díaz-López, E Monge-Pereira, E Jodra-Centeno, F Molina-Rueda, J C Miangolarra-Pag. Use of recognition of laterality through implicit motor imagery for the improvement of postural control and balance in subacute stroke patients: a randomized controlled study. Revista de neurologia. vol 74. issue 12. 2022-06-14. PMID:35698432. |
use of recognition of laterality through implicit motor imagery for the improvement of postural control and balance in subacute stroke patients: a randomized controlled study. |
2022-06-14 |
2023-08-14 |
Not clear |
| Zhen-Zhen Ma, Jia-Jia Wu, Xu-Yun Hua, Mou-Xiong Zheng, Xiang-Xin Xing, Jie Ma, Si-Si Li, Chun-Lei Shan, Jian-Guang X. Brain Function and Upper Limb Deficit in Stroke With Motor Execution and Imagery: A Cross-Sectional Functional Magnetic Resonance Imaging Study. Frontiers in neuroscience. vol 16. 2022-06-06. PMID:35663563. |
motor imagery training might be helpful in stroke rehabilitation. |
2022-06-06 |
2023-08-14 |
Not clear |
| Katrin Fuchshofer, Christian Merz, Kerstin Denecke, Corina Schuster-Amf. Intervention Platform for Action Observation and Motor Imagery Training After Stroke: Usability Test. Studies in health technology and informatics. vol 292. 2022-05-16. PMID:35575851. |
intervention platform for action observation and motor imagery training after stroke: usability test. |
2022-05-16 |
2023-08-13 |
Not clear |
| Katrin Fuchshofer, Christian Merz, Kerstin Denecke, Corina Schuster-Amf. Intervention Platform for Action Observation and Motor Imagery Training After Stroke: Usability Test. Studies in health technology and informatics. vol 292. 2022-05-16. PMID:35575851. |
action observation (ao) and motor imagery (mi) are considered as promising therapeutic approaches in the rehabilitation of patients after a stroke (pas). |
2022-05-16 |
2023-08-13 |
Not clear |
| Katsuya Sakai, Yuichiro Hoso. Relationship between the vividness of motor imagery and physical function in patients with subacute hemiplegic stroke: a cross-sectional preliminary study. Brain injury. 2022-04-04. PMID:35377819. |
relationship between the vividness of motor imagery and physical function in patients with subacute hemiplegic stroke: a cross-sectional preliminary study. |
2022-04-04 |
2023-08-13 |
Not clear |
| Katsuya Sakai, Yuichiro Hoso. Relationship between the vividness of motor imagery and physical function in patients with subacute hemiplegic stroke: a cross-sectional preliminary study. Brain injury. 2022-04-04. PMID:35377819. |
the study aimed to clarify whether the vividness of motor imagery is related to lower limb function and walking ability in patients with hemiplegic stroke. |
2022-04-04 |
2023-08-13 |
Not clear |