两腿深蹲训练中关节运动增强视觉反馈对关节力矩的响应

R. Nataraj, Sean Sanford, Mingxiao Liu
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引用次数: 0

摘要

本研究考察了不同模式的增强视觉反馈的关节运动学对新兴的关节力矩模式在两腿深蹲机动的影响。增强视觉反馈训练支持改善运动或日常活动相关动作的运动学表现。尽管关节力矩是固有运动动作的代表,但传统上并不使用运动学反馈训练来评估关节力矩。此外,通过体育训练来稳定关节力矩模式有利于恢复关节水平功能(例如,有针对性地加强和调节连接关节的肌肉)。参与者被呈现不同模式的增强视觉反馈来跟踪目标蹲动轨迹。反馈模式随复杂性(即显示的段轨迹数量)和身体表征(即显示为正弦波的轨迹与动态简笔人偶)的特征而变化。我们的研究结果表明,关节力矩的平均值和变异性(试验对试验的标准差)根据所应用的视觉反馈特征、特定关节(踝关节、膝关节、髋关节)和深蹲运动阶段(早、中、晚时间窗)显著(p < 0.05)改变。本研究应鼓励在康复训练中使用计算机界面(如虚拟现实)提供更优的视觉指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint Moment Responses to Different Modes of Augmented Visual Feedback of Joint Kinematics during Two-Legged Squat Training
This study examined the effects of different modes of augmented visual feedback of joint kinematics on the emerging joint moment patterns during the two-legged squat maneuver. Training with augmented visual feedback supports improved kinematic performance of maneuvers related to sports or daily activities. Despite being representative of intrinsic motor actions, joint moments are not traditionally evaluated with kinematic feedback training. Furthermore, stabilizing joint moment patterns with physical training is beneficial to rehabilitating joint-level function (e.g., targeted strengthening and conditioning of muscles articulating that joint). Participants were presented with different modes of augmented visual feedback to track a target squat-motion trajectory. The feedback modes varied along features of complexity (i.e., number of segment trajectories shown) and body representation (i.e., trajectories shown as sinusoids versus dynamic stick-figure avatars). Our results indicated that mean values and variability (trial-to-trial standard deviations) of joint moments are significantly (p < 0.05) altered depending on the visual feedback features being applied, the specific joint (ankle, knee, hip), and the squat movement phase (early, middle, or late time window). This study should incentivize more optimal delivery of visual guidance during rehabilitative training with computerized interfaces (e.g., virtual reality).
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