Literature DB >> 16078622

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

Katherine R S Holzbaur1, Wendy M Murray, Scott L Delp.   

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.

Mesh:

Year:  2005        PMID: 16078622     DOI: 10.1007/s10439-005-3320-7

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  164 in total

1.  Incorporating the length-dependent passive-force generating muscle properties of the extrinsic finger muscles into a wrist and finger biomechanical musculoskeletal model.

Authors:  Benjamin I Binder-Markey; Wendy M Murray
Journal:  J Biomech       Date:  2017-06-21       Impact factor: 2.712

2.  A simulation analysis of the combined effects of muscle strength and surgical tensioning on lateral pinch force following brachioradialis to flexor pollicis longus transfer.

Authors:  Jeremy P M Mogk; M Elise Johanson; Vincent R Hentz; Katherine R Saul; Wendy M Murray
Journal:  J Biomech       Date:  2010-11-18       Impact factor: 2.712

3.  Neural coordination during reach-to-grasp.

Authors:  Mukta Vaidya; Konrad Kording; Maryam Saleh; Kazutaka Takahashi; Nicholas G Hatsopoulos
Journal:  J Neurophysiol       Date:  2015-07-29       Impact factor: 2.714

4.  Analysis of effects of loading and postural demands on upper limb reaching in older adults using statistical parametric mapping.

Authors:  Xiaotong Li; Anthony C Santago; Meghan E Vidt; Katherine R Saul
Journal:  J Biomech       Date:  2016-06-23       Impact factor: 2.712

5.  Encoding of coordinated reach and grasp trajectories in primary motor cortex.

Authors:  Maryam Saleh; Kazutaka Takahashi; Nicholas G Hatsopoulos
Journal:  J Neurosci       Date:  2012-01-25       Impact factor: 6.167

6.  Modeling the biomechanical constraints on the feedforward control of endpoint stiffness.

Authors:  Xiao Hu; Wendy M Murray; Eric J Perreault
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

7.  Muscle geometry affects accuracy of forearm volume determination by magnetic resonance imaging (MRI).

Authors:  Carolyn M Eng; Geoff D Abrams; Laura R Smallwood; Richard L Lieber; Samuel R Ward
Journal:  J Biomech       Date:  2007-05-22       Impact factor: 2.712

8.  Evaluation of three methods for determining EMG-muscle force parameter estimates for the shoulder muscles.

Authors:  Christopher J Gatti; Lisa Case Doro; Joseph E Langenderfer; Amy G Mell; Joseph D Maratt; James E Carpenter; Richard E Hughes
Journal:  Clin Biomech (Bristol, Avon)       Date:  2007-10-22       Impact factor: 2.063

9.  Development and validation of a muscle wrapping model applied to intact and reverse total shoulder arthroplasty shoulders.

Authors:  Josie A Elwell; George S Athwal; Ryan Willing
Journal:  J Orthop Res       Date:  2018-09-19       Impact factor: 3.494

10.  Reconstruction and EMG-informed control, simulation and analysis of human movement for athletics: performance improvement and injury prevention.

Authors:  Emel Demircan; Oussama Khatib; Jason Wheeler; Scott Delp
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009
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