Literature DB >> 10327006

Modelling, simulation and optimisation of a human vertical jump.

T Spägele1, A Kistner, A Gollhofer.   

Abstract

This paper describes an efficient biomechanical model of the human lower limb with the aim of simulating a real human jump movement consisting of an upword propulsion, a flying and a landing phase. A multiphase optimal control technique is used to solve the muscle force sharing problem. To understand how intermuscular control coordinates limb muscle excitations, the human body is reduced to a single lower limb consisting of three rigid bodies. The biomechanical system is activated by nine muscle-tendon actuators representing the basic properties of muscles during force generation. For the calculation of the minimal muscle excitations of the jump movement, the trajectory of the hip joint is given as a rheonomic constraint and the contact forces (ground reaction forces) are determined by force plates. Based on the designed musculoskeletal model and on the differential equations of the multibody system, muscle excitations and muscle forces necessary for a vertical jump movement are calculated. The validity of the system is assessed comparing the calculated muscle excitations with the registered surface electromyogramm (EMG) of the muscles. The achieved results indicate a close relationship between the predicted and the measured parameters.

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Year:  1999        PMID: 10327006     DOI: 10.1016/s0021-9290(98)00145-6

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


  10 in total

1.  [Musculoskeletal modeling of the patellofemoral joint. Dynamic analysis of patellar tracking].

Authors:  S Herrmann; R Lenz; A Geier; S Lehner; R Souffrant; C Woernle; T Tischer; R Bader
Journal:  Orthopade       Date:  2012-04       Impact factor: 1.087

2.  Comparison of human gastrocnemius forces predicted by Hill-type muscle models and estimated from ultrasound images.

Authors:  Taylor J M Dick; Andrew A Biewener; James M Wakeling
Journal:  J Exp Biol       Date:  2017-02-15       Impact factor: 3.312

3.  Evaluation of a musculoskeletal model with prosthetic knee through six experimental gait trials.

Authors:  Mohammad Kia; Antonis P Stylianou; Trent M Guess
Journal:  Med Eng Phys       Date:  2014-01-11       Impact factor: 2.242

Review 4.  Review and perspective: neuromechanical considerations for predicting muscle activation patterns for movement.

Authors:  Lena H Ting; Stacie A Chvatal; Seyed A Safavynia; J Lucas McKay
Journal:  Int J Numer Method Biomed Eng       Date:  2012-05-16       Impact factor: 2.747

5.  Accuracy of gastrocnemius muscles forces in walking and running goats predicted by one-element and two-element Hill-type models.

Authors:  Sabrina S M Lee; Allison S Arnold; Maria de Boef Miara; Andrew A Biewener; James M Wakeling
Journal:  J Biomech       Date:  2013-07-18       Impact factor: 2.712

6.  Hip and ankle responses for reactive balance emerge from varying priorities to reduce effort and kinematic excursion: A simulation study.

Authors:  Chris S Versteeg; Lena H Ting; Jessica L Allen
Journal:  J Biomech       Date:  2016-08-08       Impact factor: 2.712

7.  Impact of the patella height on the strain pattern of the medial patellofemoral ligament after reconstruction: a computer model-based study.

Authors:  Thomas Tischer; Andreas Geier; Robert Lenz; Christoph Woernle; Rainer Bader
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-06-11       Impact factor: 4.342

8.  The Relationship Between the Lower-Body Muscular Profile and Swimming Start Performance.

Authors:  Amador García-Ramos; Katja Tomazin; Belén Feriche; Vojko Strojnik; Blanca de la Fuente; Javier Argüelles-Cienfuegos; Boro Strumbelj; Igor Štirn
Journal:  J Hum Kinet       Date:  2016-04-13       Impact factor: 2.193

9.  A Comparison of a Multi-body Model and 3D Kinematics and EMG ofDouble-leg Circle on Pommel Horse.

Authors:  Jing-Guang Qian; Yang Su; Ya-Wei Song; Ye Qiang; Songning Zhang
Journal:  J Hum Kinet       Date:  2012-04-03       Impact factor: 2.193

10.  Mechanical Impedance and Its Relations to Motor Control, Limb Dynamics, and Motion Biomechanics.

Authors:  Joseph Mizrahi
Journal:  J Med Biol Eng       Date:  2015-01-27       Impact factor: 1.553

  10 in total

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