Literature DB >> 7673268

A computationally efficient method for solving the redundant problem in biomechanics.

G T Yamaguchi1, D W Moran, J Si.   

Abstract

Determining the optimal set of musculotendon forces with which to produce a forward dynamic simulation of movement typically involves a huge investment of time and computational resources. A new, computationally efficient method is proposed that simultaneously achieves the desired trajectory and the dynamically optimized set of muscle stresses, and hence forces, according to the maximal endurance criterion function of Crowninshield and Brand (1981). Muscle-induced accelerations of the system resulting from unit stress contractions of individual muscles are superposed via the new pseudoinverse method to yield the desired motion trajectory. The method is tested on a control problem involving a five degree-of-freedom (DOF), 30 muscle, upper extremity model, which incorporates a dual rigid-body forearm to represent pronation and supination more adequately. The pseudoinverse method delivered the desired motion to within 0.25 degrees for each DOF during a three-second simulation. It is anticipated that the methodology can be easily and accurately applied to other highly redundant optimal control problems in biomechanics.

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Year:  1995        PMID: 7673268     DOI: 10.1016/0021-9290(94)00145-t

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  10 in total

1.  Anterior hip joint force increases with hip extension, decreased gluteal force, or decreased iliopsoas force.

Authors:  Cara L Lewis; Shirley A Sahrmann; Daniel W Moran
Journal:  J Biomech       Date:  2007-08-17       Impact factor: 2.712

2.  Postural dependence of muscle actions: implications for neural control.

Authors:  C A Buneo; J F Soechting; M Flanders
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5.  Effect of hip angle on anterior hip joint force during gait.

Authors:  Cara L Lewis; Shirley A Sahrmann; Daniel W Moran
Journal:  Gait Posture       Date:  2010-10-08       Impact factor: 2.840

Review 6.  A review of musculoskeletal modelling of human locomotion.

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Journal:  Interface Focus       Date:  2021-08-13       Impact factor: 4.661

7.  Effect of position and alteration in synergist muscle force contribution on hip forces when performing hip strengthening exercises.

Authors:  Cara L Lewis; Shirley A Sahrmann; Daniel W Moran
Journal:  Clin Biomech (Bristol, Avon)       Date:  2008-11-22       Impact factor: 2.063

8.  Human leg model predicts ankle muscle-tendon morphology, state, roles and energetics in walking.

Authors:  Pavitra Krishnaswamy; Emery N Brown; Hugh M Herr
Journal:  PLoS Comput Biol       Date:  2011-03-17       Impact factor: 4.475

Review 9.  The effectiveness of FES-evoked EMG potentials to assess muscle force and fatigue in individuals with spinal cord injury.

Authors:  Morufu Olusola Ibitoye; Eduardo H Estigoni; Nur Azah Hamzaid; Ahmad Khairi Abdul Wahab; Glen M Davis
Journal:  Sensors (Basel)       Date:  2014-07-14       Impact factor: 3.576

10.  Human Leg Model Predicts Muscle Forces, States, and Energetics during Walking.

Authors:  Jared Markowitz; Hugh Herr
Journal:  PLoS Comput Biol       Date:  2016-05-13       Impact factor: 4.475

  10 in total

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