J Sport Rehabil. 2021 Feb 16;30(5):794-803. doi: 10.1123/jsr.2020-0234.
Continuous visual feedback (VF) can improve abilities to achieve desired movements and maximize rehabilitation outcomes by displaying actual versus target body positions in real time. Bandwidth VF reduces the reliance on feedback by displaying movement cues only when performance errors exceed specified thresholds. As such, bandwidth VF may better train independent movement abilities through greater development of intrinsic body control. In this study, continuous and bandwidth VF were investigated across modes of display (abstract and representative) that differed in body-discernibility.
To compare the performance of the 2-legged squat during training with concurrent feedback (real-time VF) and short-term retention (immediately after training, VF removed).
Cross-sectional.
University research laboratory.
Eighteen healthy individuals.
Marker-based motion capture displayed real-time position.
Four VF cases (continuous-abstract, bandwidth-abstract, continuous-representative, and bandwidth-representative) were evaluated for accuracy and consistency to a target trajectory and target depth.
During training, both continuous VF cases showed significantly (P < .05) higher accuracy and consistency to the target trajectory compared with both bandwidth VF cases. Bandwidth VF resulted in greater potential learning (retention performance relative to a training baseline) compared with continuous-abstract.
Continuous-representative may offer unique performance benefits in both training and retention of multisegment movement tasks. Bandwidth VF showed greater potential for learning. For long-term learning, an optimal VF paradigm should consider continuous-representative with bandwidth features.
连续视觉反馈(VF)通过实时显示实际与目标身体位置,可以提高实现所需运动的能力,并最大限度地提高康复效果。带宽 VF 通过仅在性能误差超过指定阈值时显示运动提示,减少了对反馈的依赖。因此,带宽 VF 通过更大程度地发展内在身体控制,可能更好地训练独立运动能力。在这项研究中,研究了在显示模式(抽象和代表性)不同的身体可辨性下的连续和带宽 VF。
比较在同时反馈(实时 VF)和短期保留(训练后立即,VF 移除)条件下进行 2 腿深蹲训练的性能。
横断面。
大学研究实验室。
18 名健康个体。
基于标记的运动捕捉显示实时位置。
4 种 VF 情况(连续-抽象、带宽-抽象、连续-代表性和带宽-代表性)评估了准确性和一致性,以达到目标轨迹和目标深度。
在训练期间,与两种带宽 VF 情况相比,连续 VF 情况显示出明显(P <.05)更高的准确性和一致性,以达到目标轨迹。与连续抽象相比,带宽 VF 产生了更大的潜在学习(保留性能相对于训练基线)。
连续-代表性可能在多节段运动任务的训练和保留中提供独特的性能优势。带宽 VF 显示出更大的学习潜力。对于长期学习,最佳的 VF 范式应考虑具有带宽特征的连续-代表性。