Model Complexity Reduction of the Hand Musculoskeletal System in Tremulous Motion

摘要

Musculoskeletal modeling is an important step in understanding the behavior of a body part for postural and motion control. A simple but reliable model is preferred over more complex models. Most of the musculoskeletal models that have been developed so far involved a number of parameters that sometimes, some of the parameters are not easily identified or require difficult or expensive procedures. In this paper, a simplification strategy of the musculoskeletal model in 1 degree of freedom (DOF) hand tremulous motion is presented. The key idea of the complexity reduction mainly on the combination of the two inputs into single input using a sequence of signal processing. 3 models (first order, second order and second order with one zero) plus time delay are considered to represent the simplified musculoskeletal model. The best fit was represented by a second order plus time delay and one zero.