Gillette Jason C, Hartman Eric C
Department of Health and Human Performance, Iowa State University, Ames, IA 50011-1160, USA.
Biomed Sci Instrum. 2003;39:300-5.
Functional neuromuscular stimulation (FNS) has the potential to enhance the capability for individuals with a spinal cord injury (SCI) to perform activities of daily living. Individuals with SCI have successfully used FNS to stand, but the transition from sitting to standing is often awkward and may require excessive amounts of arm support. The long-term goal of this research project is to provide stimulation patterns that reduce the demands on an FNS user's arms and provide a smooth, stable sit-to-stand transition. A multi-segment, dynamic model has been developed to simulate different combinations of stimulated muscles and stimulation patterns. The model includes individualized anthropometric parameters, active and passive muscle and joint mechanics, and arm support forces (experimentally measured or an assumed pattern). Stimulated muscle properties were derived using SIMM software (Musculographics, Chicago, IL), and the simulations were run in Matlab (Mathworks, Natick, MA). Initial simulation results have estimated that ramped stimulation of the vastus lateralis and semimembranosus muscles reduces the peak vertical arm support forces from 91% to 42% of body weight as compared to unassisted sit-to-stand. Kinematic results also suggested that the hand support forces remained excessive due to a lack of joint coordination and insufficient ankle joint stiffness. In further simulations, additional muscles will be stimulated to increase joint stiffness and stimulation patterns will be designed to mimic able-bodied sit-to-stand motions. This model will be validated and improved using results of sit-to-stand experiments with FNS users once an optimized set of muscles and stimulation patterns has been determined.
功能性神经肌肉刺激(FNS)有潜力增强脊髓损伤(SCI)患者进行日常生活活动的能力。SCI患者已成功使用FNS站立,但从坐姿转换到站立姿势通常很笨拙,可能需要大量的手臂支撑。本研究项目的长期目标是提供刺激模式,以减少对FNS使用者手臂的需求,并实现平稳、稳定的从坐姿到站立姿势的转换。已开发出一个多节段动态模型,用于模拟受刺激肌肉和刺激模式的不同组合。该模型包括个性化的人体测量参数、主动和被动肌肉及关节力学,以及手臂支撑力(通过实验测量或假定模式)。使用SIMM软件(Musculographics,伊利诺伊州芝加哥)得出受刺激肌肉的特性,并在Matlab(Mathworks,马萨诸塞州纳蒂克)中运行模拟。初步模拟结果估计,与无辅助的从坐姿到站立姿势相比,对股外侧肌和半膜肌进行斜坡式刺激可将垂直手臂支撑力峰值从体重的91%降至42%。运动学结果还表明,由于缺乏关节协调性和踝关节刚度不足,手部支撑力仍然过大。在进一步的模拟中,将刺激更多肌肉以增加关节刚度,并设计刺激模式以模仿健全人的从坐姿到站立姿势的动作。一旦确定了一组优化的肌肉和刺激模式,将使用FNS使用者从坐姿到站立姿势实验的结果对该模型进行验证和改进。