In this study, we developed a method to estimate the relationship between stimulation current and volatility during isometric contraction. In functional electrical stimulation (FES), joints are driven by applying voltage to muscles. This technology has been used for a long time in the field of rehabilitation, and recently application oriented research has been reported. However, estimation of the relationship between stimulus value and exercise capacity has not been discussed to a great extent. Therefore, in this study, a human muscle model was estimated using the transfer function estimation method with fast Fourier transform. It was found that the relationship between stimulation current and force exerted could be expressed by a first-order lag system. In verification of the force estimate, the ability of the proposed model to estimate the exerted force under steady state response was found to be good.
翻译:在本研究中,我们开发了一种方法来估计在等离子收缩期间刺激当前和波动之间的关系。在功能性电动刺激(FES)中,通过对肌肉施压驱动连接。这一技术在恢复领域已经使用了很长时间,最近还报告了以应用为导向的研究。然而,对刺激值和锻炼能力之间关系的估计没有进行很大程度的讨论。因此,在本研究中,使用快速变换Fourier的转移功能估计法对人体肌肉模型进行了估计。发现刺激当前和所施力之间的关系可以通过一等滞后系统来表示。在核实部队估计时,发现拟议模型在稳定状态下估计所施加的武力的能力很好。