A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control

Katherine R S Holzbaur, Wendy M. Murray, Scott L. Delp

Research output: Contribution to journalArticlepeer-review

593 Scopus citations

Abstract

Biomechanical models of the musculoskeletal system are frequently used to study neuromuscular control and simulate surgical procedures. To be broadly applicable, a model must be accessible to users, provide accurate representations of muscles and joints, and capture important interactions between joints. We have developed a model of the upper extremity that includes 15 degrees of freedom representing the shoulder, elbow, forearm, wrist, thumb, and index finger, and 50 muscle compartments crossing these joints. The kinematics of each joint and the force-generating parameters for each muscle were derived from experimental data. The model estimates the muscle-tendon lengths and moment arms for each of the muscles over a wide range of postures. Given a pattern of muscle activations, the model also estimates muscle forces and joint moments. The moment arms and maximum moment-generating capacity of each muscle group (e.g., elbow flexors) were compared to experimental data to assess the accuracy of the model. These comparisons showed that moment arms and joint moments estimated using the model captured important features of upper extremity geometry and mechanics. The model also revealed coupling between joints, such as increased passive finger flexion moment with wrist extension. The computer model is available to researchers at http://nmbl.stanford.edu .

Original languageEnglish (US)
Pages (from-to)829-840
Number of pages12
JournalAnnals of Biomedical Engineering
Volume33
Issue number6
DOIs
StatePublished - Jun 1 2005

Keywords

  • Computer simulation
  • Elbow
  • Muscle
  • Shoulder
  • Upper limb
  • Wrist

ASJC Scopus subject areas

  • Biomedical Engineering

Fingerprint Dive into the research topics of 'A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control'. Together they form a unique fingerprint.

Cite this