J4 ›› 2009, Vol. 6 ›› Issue (2): 108-119.doi: 10.1016/S1672-6529(08)60108-0

• 论文 • 上一篇    下一篇

A Neuro-Muscular Elasto-Dynamic Model of the Human Arm Part 2: Musculotendon Dynamics and Related Stress Effects

Cody B. Moody, Alan A. Barhorst, Lawrence Schovanec   

  1. 1. Texas Tech University, Department of Mechanical Engineering, Lubbock, TX 79409-1021, USA
    2. Texas Tech University, Department of Mathematics and Statistics, Lubbock, TX 79409-1042, USA
  • 出版日期:2009-06-30
  • 通讯作者: Alan A. Barhorst E-mail:alan.barhorst@ttu.edu
  • 作者简介:Alan A. Barhorst E-mail: alan.barhorst@ttu.edu

A Neuro-Muscular Elasto-Dynamic Model of the Human Arm Part 2: Musculotendon Dynamics and Related Stress Effects

Cody B. Moody, Alan A. Barhorst, Lawrence Schovanec   

  1. 1. Texas Tech University, Department of Mechanical Engineering, Lubbock, TX 79409-1021, USA
    2. Texas Tech University, Department of Mathematics and Statistics, Lubbock, TX 79409-1042, USA
  • Online:2009-06-30
  • Contact: Alan A. Barhorst E-mail: alan.barhorst@ttu.edu E-mail:alan.barhorst@ttu.edu
  • About author:Alan A. Barhorst E-mail: alan.barhorst@ttu.edu

摘要:

In this paper we develop an elasto-dynamic model of the human arm that includes effects of neuro-muscular control upon elastic deformation in the limb. The elasto-dynamic model of the arm is based on hybrid parameter multiple body system variational projection principles presented in the companion paper. Though the technique is suitable for detailed bone and joint modeling, we present simulations for simplified geometry of the bones, discretized as Rayleigh beams with elongation, while allowing for large deflections. Motion of the upper extremity is simulated by incorporating muscle forces derived from a Hill-type model of musculotendon dynamics. The effects of muscle force are modeled in two ways. In one approach, an effective joint torque is calculated by multiplying the muscle force by a joint moment arm. A second approach models the muscle as acting along a straight line between the origin and insertion sites of the tendon. Simple arm motion is simulated by utilizing neural feedback and feedforward control. Simulations illustrate the combined effects of neural control strategies, models of muscle force inclusion, and elastic assumptions on joint trajectories and stress and strain development in the bone and tendon.

关键词: elasto-dynamics, hybrid parameter system, musculo skeletal model, neuro-muscular model

Abstract:

In this paper we develop an elasto-dynamic model of the human arm that includes effects of neuro-muscular control upon elastic deformation in the limb. The elasto-dynamic model of the arm is based on hybrid parameter multiple body system variational projection principles presented in the companion paper. Though the technique is suitable for detailed bone and joint modeling, we present simulations for simplified geometry of the bones, discretized as Rayleigh beams with elongation, while allowing for large deflections. Motion of the upper extremity is simulated by incorporating muscle forces derived from a Hill-type model of musculotendon dynamics. The effects of muscle force are modeled in two ways. In one approach, an effective joint torque is calculated by multiplying the muscle force by a joint moment arm. A second approach models the muscle as acting along a straight line between the origin and insertion sites of the tendon. Simple arm motion is simulated by utilizing neural feedback and feedforward control. Simulations illustrate the combined effects of neural control strategies, models of muscle force inclusion, and elastic assumptions on joint trajectories and stress and strain development in the bone and tendon.

Key words: elasto-dynamics, hybrid parameter system, musculo skeletal model, neuro-muscular model