다물체 모델링과 통계 방법론을 이용한 인체 하지부 구속력의 불확실성 추정 연구

Abstract

본 연구에서는 인체의 하지부를 다물체 시스템으로 모델링하여 무릎관절에 걸리는 구속력의 불확실성을 추정하였다. 일반적으로 근육의 기계적인 특성은 Hill-type muscle model이 사용되며 여기에 적용되는 인체의 특성과 해부학적인 데이터는 지난 십 수년 동안 크게 발전되었다. 그러나 정확하게 그것들을 안다는 것은 불가능하며 개인마다 다른점을 고려해야 할 필요가 있다. 본 논문에서는 Hill-type muscle model과 함께 인체의 해부학적인 데이터를 통계 방법론을 이용하여 무릎 관절에 걸리는 구속력의 불확실성을 추정하였다. 초기 앉아있는 자세에서 일어서는 과정에서 작용하는 구속력을 추정하였으며 이때 인체 하지 근육의 특성을 musculoskeleton– actuator를 이용하여 해석하였다.|The goal of this study is to expect to force applied at knee joint in the human body by using the Hill-type muscle model and The model, human body, is based on a musculoskeletal model of the human lower extremity in the sagittal plane. To perform this research human leg is modeled by multi-body modeling. This leg model has biarticular muscles, acting on two joints, and the muscles include some of the major muscles, such as hamstring, of the upper and lower limbs. To analysis the uncertainty of the applied forces that act on the knee joint, statistical distributions of human body, leg part, parameters are required and to obtain the parameter’s statistical characteristic of the part sample survey method is employed. Finally using the sensitivity information of the parameter the aim of this paper can be estimated.; The goal of this study is to expect to force applied at knee joint in the human body by using the Hill-type muscle model and The model, human body, is based on a musculoskeletal model of the human lower extremity in the sagittal plane. To perform this research human leg is modeled by multi-body modeling. This leg model has biarticular muscles, acting on two joints, and the muscles include some of the major muscles, such as hamstring, of the upper and lower limbs. To analysis the uncertainty of the applied forces that act on the knee joint, statistical distributions of human body, leg part, parameters are required and to obtain the parameter’s statistical characteristic of the part sample survey method is employed. Finally using the sensitivity information of the parameter the aim of this paper can be estimated.