Estimation of Relationship between Stimulation Current and Force Exerted during Isometric Contraction
This work addresses a gap in FES rehabilitation technology by providing a method to estimate exercise capacity from stimulus values, though it appears incremental as it builds on existing muscle modeling approaches.
The study tackled the problem of estimating the relationship between stimulation current and force exerted during isometric contraction in functional electrical stimulation (FES), finding that this relationship could be expressed by a first-order lag system with good estimation ability under steady state response.
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.