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http://dx.doi.org/10.3795/KSME-A.2014.38.10.1147

Estimation of Human Lower-Extremity Muscle Force Under Uncertainty While Rising from a Chair  

Jo, Young Nam (Dept. of Mechanical Engineering, Hanyang Univ.)
Kang, Moon Jeong (Dept. of Mechanical Engineering, Hanyang Univ.)
Chae, Je Wook (Agency for Defense Development)
Yoo, Hong Hee (Dept. of Mechanical Engineering, Hanyang Univ.)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.38, no.10, 2014 , pp. 1147-1155 More about this Journal
Abstract
Biomechanical models are often used to predict muscle and joint forces in the human body. For estimation of muscle forces, the body and muscle properties have to be known. However, these properties are difficult to measure and differ from person to person. Therefore, it is necessary to predict the change in muscle forces depending on the body and muscle properties. The objective of the present study is to develop a numerical procedure for estimating the muscle forces in the human lower extremity under uncertainty of body and muscle properties during rising motion from a seated position. The human lower extremity is idealized as a multibody system in which eight Hill-type muscle force models are employed. Each model has four degrees of freedom and is constrained in the sagittal plane. The eight muscle forces are determined by minimizing the metabolic energy consumption during the rising motion. Uncertainty analysis is performed using a first-order reliability method. The one-standard-deviation range of agonistic muscle forces is calculated to be about 150-300 N.
Keywords
Biomechanics; Muscle Force; Lower Extremity; Uncertainty Analysis; Optimization;
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