{"title":"反馈类型可能会改变机器人支持的上肢伸展任务中的肌电图模式和运动学特性","authors":"Yasuhiro Kato;Toshiaki Tsuji;Imre Cikajlo","doi":"10.1109/OJEMB.2024.3363137","DOIUrl":null,"url":null,"abstract":"Haptic interfaces and virtual reality (VR) technology have been increasingly introduced in rehabilitation, facilitating the provision of various feedback and task conditions. However, correspondence between the feedback/task conditions and movement strategy during reaching tasks remains a question. To investigate movement strategy, we assessed velocity parameters and peak latency of electromyography. Ten neuromuscularly intact volunteers participated in the measurement using haptic interface and VR. Concurrent visual feedback and various terminal feedback (e.g., visual, haptic, visual and haptic) were given. Additionally, the object size for the reaching task was changed. The results demonstrated terminal haptic feedback had a significant impact on kinematic parameters; showed \n<inline-formula><tex-math>$0.7\\,\\pm {\\,1.4}$</tex-math></inline-formula>\n s (\n<inline-formula><tex-math>$p\\,< .05$</tex-math></inline-formula>\n) shorter movement time and \n<inline-formula><tex-math>$0.01\\,\\pm {\\,0.08}$</tex-math></inline-formula>\n m/s (\n<inline-formula><tex-math>$p\\,< .05$</tex-math></inline-formula>\n) higher mean velocity compared to no terminal feedback. Also, smaller peak latency was observed in different muscle regions based on the object size.","PeriodicalId":33825,"journal":{"name":"IEEE Open Journal of Engineering in Medicine and Biology","volume":"5 ","pages":"173-179"},"PeriodicalIF":2.7000,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10423822","citationCount":"0","resultStr":"{\"title\":\"Feedback Type May Change the EMG Pattern and Kinematics During Robot Supported Upper Limb Reaching Task\",\"authors\":\"Yasuhiro Kato;Toshiaki Tsuji;Imre Cikajlo\",\"doi\":\"10.1109/OJEMB.2024.3363137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Haptic interfaces and virtual reality (VR) technology have been increasingly introduced in rehabilitation, facilitating the provision of various feedback and task conditions. However, correspondence between the feedback/task conditions and movement strategy during reaching tasks remains a question. To investigate movement strategy, we assessed velocity parameters and peak latency of electromyography. Ten neuromuscularly intact volunteers participated in the measurement using haptic interface and VR. Concurrent visual feedback and various terminal feedback (e.g., visual, haptic, visual and haptic) were given. Additionally, the object size for the reaching task was changed. The results demonstrated terminal haptic feedback had a significant impact on kinematic parameters; showed \\n<inline-formula><tex-math>$0.7\\\\,\\\\pm {\\\\,1.4}$</tex-math></inline-formula>\\n s (\\n<inline-formula><tex-math>$p\\\\,< .05$</tex-math></inline-formula>\\n) shorter movement time and \\n<inline-formula><tex-math>$0.01\\\\,\\\\pm {\\\\,0.08}$</tex-math></inline-formula>\\n m/s (\\n<inline-formula><tex-math>$p\\\\,< .05$</tex-math></inline-formula>\\n) higher mean velocity compared to no terminal feedback. Also, smaller peak latency was observed in different muscle regions based on the object size.\",\"PeriodicalId\":33825,\"journal\":{\"name\":\"IEEE Open Journal of Engineering in Medicine and Biology\",\"volume\":\"5 \",\"pages\":\"173-179\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-02-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10423822\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Open Journal of Engineering in Medicine and Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10423822/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of Engineering in Medicine and Biology","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10423822/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
摘要
触觉界面和虚拟现实(VR)技术越来越多地被引入康复领域,为提供各种反馈和任务条件提供了便利。然而,在伸手任务中,反馈/任务条件与运动策略之间的对应关系仍然是一个问题。为了研究运动策略,我们评估了肌电图的速度参数和峰值潜伏期。十名神经肌肉健全的志愿者参与了使用触觉界面和 VR 进行的测量。我们同时提供了视觉反馈和各种终端反馈(如视觉、触觉、视觉和触觉)。此外,还改变了伸手任务的物体大小。结果表明,终端触觉反馈对运动学参数有显著影响;与无终端反馈相比,终端触觉反馈显示运动时间缩短了0.7,\pm {\,1.4}$ s ($p\<.05$),平均速度提高了0.01,\pm {\,0.08}$ m/s ($p\<.05$)。此外,根据物体的大小,在不同的肌肉区域观察到较小的峰值潜伏期。
Feedback Type May Change the EMG Pattern and Kinematics During Robot Supported Upper Limb Reaching Task
Haptic interfaces and virtual reality (VR) technology have been increasingly introduced in rehabilitation, facilitating the provision of various feedback and task conditions. However, correspondence between the feedback/task conditions and movement strategy during reaching tasks remains a question. To investigate movement strategy, we assessed velocity parameters and peak latency of electromyography. Ten neuromuscularly intact volunteers participated in the measurement using haptic interface and VR. Concurrent visual feedback and various terminal feedback (e.g., visual, haptic, visual and haptic) were given. Additionally, the object size for the reaching task was changed. The results demonstrated terminal haptic feedback had a significant impact on kinematic parameters; showed
$0.7\,\pm {\,1.4}$
s (
$p\,< .05$
) shorter movement time and
$0.01\,\pm {\,0.08}$
m/s (
$p\,< .05$
) higher mean velocity compared to no terminal feedback. Also, smaller peak latency was observed in different muscle regions based on the object size.
期刊介绍:
The IEEE Open Journal of Engineering in Medicine and Biology (IEEE OJEMB) is dedicated to serving the community of innovators in medicine, technology, and the sciences, with the core goal of advancing the highest-quality interdisciplinary research between these disciplines. The journal firmly believes that the future of medicine depends on close collaboration between biology and technology, and that fostering interaction between these fields is an important way to advance key discoveries that can improve clinical care.IEEE OJEMB is a gold open access journal in which the authors retain the copyright to their papers and readers have free access to the full text and PDFs on the IEEE Xplore® Digital Library. However, authors are required to pay an article processing fee at the time their paper is accepted for publication, using to cover the cost of publication.