Literature DB >> 34978603

How fiber dynamics of plantarflexor and dorsiflexor muscles based on EMG-driven approach can explain the metabolic cost at different gait speeds.

Pauline Gerus1, Elodie Piche2,3, Olivier Guérin3,4, Frederic Chorin2,3, Raphaël Zory2,5.   

Abstract

PURPOSE: The aim of this study was to investigate the fiber dynamics of plantarflexor and dorsiflexor muscles and their association with the net metabolic rate (NCw).
METHODS: Metabolic, kinematic, kinetic, and electromyography measurements were made on seven young subjects while they walked on a force-plate instrumented treadmill at 1.00, 1.20, 1.40, 1.60, and 1.8 m/s for 1:30 min. The net metabolic rate was computed, and a one degree-of freedom EMG-driven approach was used to extract the force generation ability (Fability), and active force-length (fAL) and force-velocity (fV) multiplier of each muscle. A one-way (speeds) repeated measures ANOVA was performed for each muscle and a multiple linear regression model was used to explain NCw.
RESULTS: Fability was significantly affected by gait speed for the GasMed and the SOL muscles. The decrease of Fability for the SOL and the GasMed was accompanied by a decrease in the force-velocity multiplier. The peak muscle force for the SOL increased for the lowest speed compared to the higher speed, and for the TibAnt increased at high speed compared to low speed. In addition, Fability fAL, and fV of the SOL predicted over 58% of NCw and FMax of the TibAnt accounts for 39.9% of the variance in NCw.
CONCLUSION: The increase of NCw with gait speed over the preferred walking speed can be partially explained by the decreasing capacity of the SOL muscle to produce muscle force and more specifically by the force-velocity relationship and an increase in muscle force for the TibAnt.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Fiber dynamics; Gait; Metabolic cost; Modeling

Mesh:

Year:  2022        PMID: 34978603     DOI: 10.1007/s00421-021-04881-4

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  34 in total

1.  Individual muscle contributions to support in normal walking.

Authors:  Frank C Anderson; Marcus G Pandy
Journal:  Gait Posture       Date:  2003-04       Impact factor: 2.840

2.  A phenomenological model for estimating metabolic energy consumption in muscle contraction.

Authors:  Lindsay J Bhargava; Marcus G Pandy; Frank C Anderson
Journal:  J Biomech       Date:  2004-01       Impact factor: 2.712

3.  Repeatability of gait data using a functional hip joint centre and a mean helical knee axis.

Authors:  Thor F Besier; Daina L Sturnieks; Jacque A Alderson; David G Lloyd
Journal:  J Biomech       Date:  2003-08       Impact factor: 2.712

4.  Neuromusculoskeletal modeling: estimation of muscle forces and joint moments and movements from measurements of neural command.

Authors:  Thomas S Buchanan; David G Lloyd; Kurt Manal; Thor F Besier
Journal:  J Appl Biomech       Date:  2004-11       Impact factor: 1.833

5.  OpenSim: open-source software to create and analyze dynamic simulations of movement.

Authors:  Scott L Delp; Frank C Anderson; Allison S Arnold; Peter Loan; Ayman Habib; Chand T John; Eran Guendelman; Darryl G Thelen
Journal:  IEEE Trans Biomed Eng       Date:  2007-11       Impact factor: 4.538

6.  Plantarflexor metabolics are sensitive to resting ankle angle and optimal fiber length in computational simulations of gait.

Authors:  Josh R Baxter; Michael W Hast
Journal:  Gait Posture       Date:  2018-10-17       Impact factor: 2.840

7.  How muscle fiber lengths and velocities affect muscle force generation as humans walk and run at different speeds.

Authors:  Edith M Arnold; Samuel R Hamner; Ajay Seth; Matthew Millard; Scott L Delp
Journal:  J Exp Biol       Date:  2013-03-07       Impact factor: 3.312

8.  Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants.

Authors:  R W Bohannon
Journal:  Age Ageing       Date:  1997-01       Impact factor: 10.668

9.  Energy cost, mechanical work, and efficiency of hemiparetic walking.

Authors:  C Detrembleur; F Dierick; G Stoquart; F Chantraine; T Lejeune
Journal:  Gait Posture       Date:  2003-10       Impact factor: 2.840

10.  The energetics of endurance running.

Authors:  P E di Prampero; G Atchou; J C Brückner; C Moia
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1986
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