Research on Rehabilitation Training Strategies Using Multimodal Virtual Scene Stimulation
It is difficult for stroke patients with flaccid paralysis to receive passive rehabilitation training. 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...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-06-01
|
| Series: | Frontiers in Aging Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2022.892178/full |
| _version_ | 1818218160065609728 |
|---|---|
| author | Ping Xie Zihao Wang Zengyong Li Ying Wang Nianwen Wang Zhenhu Liang Juan Wang Xiaoling Chen |
| author_facet | Ping Xie Zihao Wang Zengyong Li Ying Wang Nianwen Wang Zhenhu Liang Juan Wang Xiaoling Chen |
| author_sort | Ping Xie |
| collection | DOAJ |
| description | It is difficult for stroke patients with flaccid paralysis to receive passive rehabilitation training. 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. This virtual rehabilitation technology can enhance the initiative and adaptability of patient rehabilitation. To maximize the deep activation of the subjects motor nerves and accelerate the remodeling mechanism of motor nerve function, this study designed a brain-computer interface rehabilitation training strategy using different virtual scenes, including static scenes, dynamic scenes, and VR scenes. Including static scenes, dynamic scenes, and VR scenes. 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. This paper provided the research basis for a virtual rehabilitation strategy that could integrate the motor imagery brain-computer interface and virtual reality technology. |
| first_indexed | 2024-12-12T07:19:20Z |
| format | Article |
| id | doaj.art-2057687d9b024beea735bbeb807e4145 |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-12-12T07:19:20Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-2057687d9b024beea735bbeb807e41452022-12-22T00:33:26ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652022-06-011410.3389/fnagi.2022.892178892178Research on Rehabilitation Training Strategies Using Multimodal Virtual Scene StimulationPing Xie0Zihao Wang1Zengyong Li2Ying Wang3Nianwen Wang4Zhenhu Liang5Juan Wang6Xiaoling Chen7Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, ChinaKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, ChinaNational Research Center for Rehabilitation Technical Aids, Beijing, ChinaKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, ChinaKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, ChinaKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, ChinaKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, ChinaKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, ChinaIt is difficult for stroke patients with flaccid paralysis to receive passive rehabilitation training. 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. This virtual rehabilitation technology can enhance the initiative and adaptability of patient rehabilitation. To maximize the deep activation of the subjects motor nerves and accelerate the remodeling mechanism of motor nerve function, this study designed a brain-computer interface rehabilitation training strategy using different virtual scenes, including static scenes, dynamic scenes, and VR scenes. Including static scenes, dynamic scenes, and VR scenes. 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. This paper provided the research basis for a virtual rehabilitation strategy that could integrate the motor imagery brain-computer interface and virtual reality technology.https://www.frontiersin.org/articles/10.3389/fnagi.2022.892178/fullbrain-computer interfacemotor imageryvirtual realityneural activationvirtual rehabilitation |
| spellingShingle | Ping Xie Zihao Wang Zengyong Li Ying Wang Nianwen Wang Zhenhu Liang Juan Wang Xiaoling Chen Research on Rehabilitation Training Strategies Using Multimodal Virtual Scene Stimulation Frontiers in Aging Neuroscience brain-computer interface motor imagery virtual reality neural activation virtual rehabilitation |
| title | Research on Rehabilitation Training Strategies Using Multimodal Virtual Scene Stimulation |
| title_full | Research on Rehabilitation Training Strategies Using Multimodal Virtual Scene Stimulation |
| title_fullStr | Research on Rehabilitation Training Strategies Using Multimodal Virtual Scene Stimulation |
| title_full_unstemmed | Research on Rehabilitation Training Strategies Using Multimodal Virtual Scene Stimulation |
| title_short | Research on Rehabilitation Training Strategies Using Multimodal Virtual Scene Stimulation |
| title_sort | research on rehabilitation training strategies using multimodal virtual scene stimulation |
| topic | brain-computer interface motor imagery virtual reality neural activation virtual rehabilitation |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2022.892178/full |
| work_keys_str_mv | AT pingxie researchonrehabilitationtrainingstrategiesusingmultimodalvirtualscenestimulation AT zihaowang researchonrehabilitationtrainingstrategiesusingmultimodalvirtualscenestimulation AT zengyongli researchonrehabilitationtrainingstrategiesusingmultimodalvirtualscenestimulation AT yingwang researchonrehabilitationtrainingstrategiesusingmultimodalvirtualscenestimulation AT nianwenwang researchonrehabilitationtrainingstrategiesusingmultimodalvirtualscenestimulation AT zhenhuliang researchonrehabilitationtrainingstrategiesusingmultimodalvirtualscenestimulation AT juanwang researchonrehabilitationtrainingstrategiesusingmultimodalvirtualscenestimulation AT xiaolingchen researchonrehabilitationtrainingstrategiesusingmultimodalvirtualscenestimulation |