Kim Jonghyun, Stanley Christopher J, Curatalo Lindsey A, Park Hyung-Soon
Functional & Applied Biomechanics Section, Rehabilitation Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3061-4. doi: 10.1109/EMBC.2012.6346610.
Treadmill-based locomotor training should simulate overground walking as closely as possible for optimal skill transfer. The constant speed of a standard treadmill encourages automaticity rather than engagement and fails to simulate the variable speeds encountered during real-world walking. To address this limitation, this paper proposes a user-driven treadmill velocity control scheme that allows the user to experience natural fluctuations in walking velocity with minimal unwanted inertial force due to acceleration/deceleration of the treadmill belt. A smart estimation limiter in the scheme effectively attenuates the inertial force during velocity changes. The proposed scheme requires measurement of pelvic and swing foot motions, and is developed for a treadmill of typical belt length (1.5 m). The proposed scheme is quantitatively evaluated here with four healthy subjects by comparing it with the most advanced control scheme identified in the literature.
基于跑步机的运动训练应尽可能逼真地模拟地面行走，以实现最佳的技能迁移。标准跑步机的恒定速度会促使动作自动化而非主动参与，并且无法模拟现实行走中遇到的速度变化。为解决这一局限性，本文提出了一种用户驱动的跑步机速度控制方案，该方案能让用户在跑步机皮带加速/减速产生的最小不必要惯性力影响下，体验行走速度的自然波动。该方案中的智能估计限制器能在速度变化期间有效减弱惯性力。所提出的方案需要测量骨盆和摆动脚的运动，并且是针对典型皮带长度（1.5米）的跑步机开发的。本文通过将所提出的方案与文献中确定的最先进控制方案进行比较，对四名健康受试者进行了定量评估。
