沉浸式虚拟环境中肢体位置对运动意象训练范式的影响

Suktipol Kiatthaveephong, Suvichak Santiwongkarn, Rattanaphon Chaisaen, Chutimon Rungsilp, T. Yagi, Theerawit Wilaiprasitporn
{"title":"沉浸式虚拟环境中肢体位置对运动意象训练范式的影响","authors":"Suktipol Kiatthaveephong, Suvichak Santiwongkarn, Rattanaphon Chaisaen, Chutimon Rungsilp, T. Yagi, Theerawit Wilaiprasitporn","doi":"10.1109/SENSORS52175.2022.9967135","DOIUrl":null,"url":null,"abstract":"Motor imagery (MI) training-based Brain-Computer Interfaces (BCI) improved individuals' motor function by inducing direct alterations in the sensorimotor area. Virtual Reality (VR)-based MI training has been identified as a promising technique for achieving high performance. However, the physical limb position should be considered when designing a better training task. This paper investigated the effect of induced MI activities when the virtual arms were at normal and shifted down position. The paradigm used of Virtual Reality (VR) to simulate the situation of having realistic and unrealistic arms position in an immersive virtual environment. Analyses of electroencephalograms (EEGs) revealed significant differences in MI activity levels between two positions on both the left and right sides. During shifted arms MI, the negative power regions were found in beta and gamma bands on the contralateral hemisphere in time-frequency analysis. Resting vs. normal position arms MI and resting vs. shifted position arms MI classification accuracy reached 80 % and 63 %, respectively. Overall, these findings suggested that taking into account the realistic physical position of virtual limbs is critical for optimizing MI training performance.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"143 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Effect of Limb Position in Motor Imagery Training Paradigm in Immersive Virtual Environment\",\"authors\":\"Suktipol Kiatthaveephong, Suvichak Santiwongkarn, Rattanaphon Chaisaen, Chutimon Rungsilp, T. Yagi, Theerawit Wilaiprasitporn\",\"doi\":\"10.1109/SENSORS52175.2022.9967135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Motor imagery (MI) training-based Brain-Computer Interfaces (BCI) improved individuals' motor function by inducing direct alterations in the sensorimotor area. Virtual Reality (VR)-based MI training has been identified as a promising technique for achieving high performance. However, the physical limb position should be considered when designing a better training task. This paper investigated the effect of induced MI activities when the virtual arms were at normal and shifted down position. The paradigm used of Virtual Reality (VR) to simulate the situation of having realistic and unrealistic arms position in an immersive virtual environment. Analyses of electroencephalograms (EEGs) revealed significant differences in MI activity levels between two positions on both the left and right sides. During shifted arms MI, the negative power regions were found in beta and gamma bands on the contralateral hemisphere in time-frequency analysis. Resting vs. normal position arms MI and resting vs. shifted position arms MI classification accuracy reached 80 % and 63 %, respectively. Overall, these findings suggested that taking into account the realistic physical position of virtual limbs is critical for optimizing MI training performance.\",\"PeriodicalId\":120357,\"journal\":{\"name\":\"2022 IEEE Sensors\",\"volume\":\"143 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Sensors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SENSORS52175.2022.9967135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Sensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SENSORS52175.2022.9967135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

基于运动意象(MI)训练的脑机接口(BCI)通过诱导感觉运动区域的直接改变来改善个体的运动功能。基于虚拟现实(VR)的人工智能训练被认为是一种很有前途的实现高性能的技术。然而,在设计更好的训练任务时,应考虑肢体的物理位置。本文研究了虚拟臂处于正常位置和下移位置时对心肌梗死活动的影响。在沉浸式虚拟环境中,使用虚拟现实(VR)来模拟具有真实和不真实的武器位置的情况。脑电图(eeg)分析显示,左、右两个位置心肌梗死活动水平有显著差异。在移位臂心肌梗死时,时频分析发现对侧半球的β和γ波段存在负功率区。静止与正常位置臂MI和静止与移动位置臂MI分类准确率分别达到80%和63%。总的来说,这些发现表明,考虑虚拟肢体的真实物理位置对于优化心肌梗死训练性能至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Effect of Limb Position in Motor Imagery Training Paradigm in Immersive Virtual Environment
Motor imagery (MI) training-based Brain-Computer Interfaces (BCI) improved individuals' motor function by inducing direct alterations in the sensorimotor area. Virtual Reality (VR)-based MI training has been identified as a promising technique for achieving high performance. However, the physical limb position should be considered when designing a better training task. This paper investigated the effect of induced MI activities when the virtual arms were at normal and shifted down position. The paradigm used of Virtual Reality (VR) to simulate the situation of having realistic and unrealistic arms position in an immersive virtual environment. Analyses of electroencephalograms (EEGs) revealed significant differences in MI activity levels between two positions on both the left and right sides. During shifted arms MI, the negative power regions were found in beta and gamma bands on the contralateral hemisphere in time-frequency analysis. Resting vs. normal position arms MI and resting vs. shifted position arms MI classification accuracy reached 80 % and 63 %, respectively. Overall, these findings suggested that taking into account the realistic physical position of virtual limbs is critical for optimizing MI training performance.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信