Yoshimura Manabu, Kurumadani Hiroshi, Ito Tomotaka, Hosokawa Takayuki, Hirata Junya, Senoo Katsutoshi, Kinoshita Seiji, Date Shota, Hanayama Kozo, Sunagawa Toru
Faculty of Rehabilitation, Kawasaki University of Medical Welfare, Okayama, Japan.
Graduate School of Biomedical & Health Sciences, Hiroshima University, Hiroshima, Japan.
Prosthet Orthot Int. 2024 Dec 18;49(4):400-407. doi: 10.1097/PXR.0000000000000392.
Conventional myoelectric prostheses (myo-prostheses) training involves repetitive grasping and manipulation training, which requires considerable training time. It is necessary to develop a short and efficient myo-prostheses training. This study aimed to verify the immediate and sustained effects of action observation and motor imagery (AOMI) using virtual reality (VR) on myo-prostheses control and clarify the effect of visual feedback of electromyogram (EMG) signals during AOMI using VR.
We evaluated 24 healthy right-handed individuals wearing a myo-prostheses simulator in their dominant hands. We divided participants into 3 groups: VR video observation with EMG presentation during manipulation (VR+), VR video observation without EMG presentation (VR), and control group. We evaluated prosthetic control skills using the Grasp Force Adjustment Test (GFAT) and Bowknot task immediately before and after AOMI and 1 week later. In addition, we evaluated the level of immersion during AOMI.
The rate of change in the GFAT 1 week after the intervention was significantly greater in the VR+ ( P < 0.05, d = 1.32) and VR ( P < 0.01, d = 2.34) groups than in the control group. Immersion was significantly higher in the VR+ and VR groups than in the control group. The condition and time required for GFAT had significant effects, although the post-hoc test showed no significant difference between VR+ and VR groups.
AOMI using VR had sustained effects on motor learning of myo-prosthetic control despite EMG presentation. Therefore, AOMI, using VR, manipulates prostheses once learned, and it might be used for future training of myo-prosthetic control.
传统的肌电假肢训练包括重复性的抓握和操作训练，这需要大量的训练时间。因此，开发一种简短而高效的肌电假肢训练方法很有必要。本研究旨在验证使用虚拟现实（VR）的动作观察与运动想象（AOMI）对肌电假肢控制的即时和持续效果，并阐明在使用VR的AOMI过程中肌电图（EMG）信号视觉反馈的作用。
我们评估了24名健康的右利手个体，他们的优势手佩戴肌电假肢模拟器。我们将参与者分为3组：操作过程中伴有EMG呈现的VR视频观察组（VR+）、无EMG呈现的VR视频观察组（VR）和对照组。我们在AOMI前后及1周后，使用握力调整测试（GFAT）和蝴蝶结任务评估假肢控制技能。此外，我们评估了AOMI过程中的沉浸程度。
干预1周后，VR+组（P<0.05，d=1.32）和VR组（P<0.01，d=2.34）的GFAT变化率显著高于对照组。VR+组和VR组的沉浸程度显著高于对照组。GFAT的条件和时间有显著影响，尽管事后检验显示VR+组和VR组之间无显著差异。
尽管有EMG呈现，但使用VR的AOMI对肌电假肢控制的运动学习有持续影响。因此，使用VR的AOMI一旦学会就可以操纵假肢，它可能用于未来的肌电假肢控制训练。
