Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Static and dynamic optimization solutions for gait are practically equivalent.

F C Anderson1, M G Pandy

  • 1Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, USA. fca@stanford.edu

Journal of Biomechanics
|February 13, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hip abductor muscle volumes are smaller in individuals affected by patellofemoral joint osteoarthritis.

Osteoarthritis and cartilage·2018
Same author

Differences in in vivo muscle fascicle and tendinous tissue behavior between the ankle plantarflexors during running.

Scandinavian journal of medicine & science in sports·2018
Same author

Exercise, education, manual-therapy and taping compared to education for patellofemoral osteoarthritis: a blinded, randomised clinical trial.

Osteoarthritis and cartilage·2015
Same author

A non-invasive, 3D, dynamic MRI method for measuring muscle moment arms in vivo: demonstration in the human ankle joint and Achilles tendon.

Medical engineering & physics·2014
Same author

The effects of a varus unloader brace for lateral tibiofemoral osteoarthritis and valgus malalignment after anterior cruciate ligament reconstruction: a single case study.

Journal of musculoskeletal & neuronal interactions·2013
Same author

Altered hip muscle forces during gait in people with patellofemoral osteoarthritis.

Osteoarthritis and cartilage·2012
Same journal

Regional mechanical differences in hamstring muscles after removal of surrounding connective tissue.

Journal of biomechanics·2026
Same journal

A novel knee joint laxity measurement device in mice.

Journal of biomechanics·2026
Same journal

Influence of iliofemoral ligament laxity on hip joint contact forces during gait.

Journal of biomechanics·2026
Same journal

Associations of sagittal spinal alignment with shear wave velocity, thickness, and echo intensity of muscles attached to the spine and pelvis in healthy women.

Journal of biomechanics·2026
Same journal

The gait lab effect: symmetry restoration strategy after anterior cruciate ligament reconstruction is different in natural environments than the gait laboratory.

Journal of biomechanics·2026
Same journal

Mediolateral trunk control, rather than temporal gait control, is associated with treadmill walking adaptation in healthy older adults.

Journal of biomechanics·2026
See all related articles

Dynamic optimization does not offer superior muscle force estimates for normal gait compared to static optimization. Both methods yield similar results, suggesting static optimization is sufficient for estimating muscle forces in this context.

Area of Science:

  • Biomechanics
  • Musculoskeletal Modeling
  • Gait Analysis

Background:

  • Estimating muscle forces during human movement is crucial for understanding biomechanics.
  • Dynamic optimization and static optimization are common computational approaches for this estimation.
  • The relative efficacy of these methods for normal gait requires clarification.

Purpose of the Study:

  • To compare the muscle force estimates derived from dynamic optimization with those from two static optimization methods during normal gait.
  • To evaluate the influence of activation dynamics and muscle force-length-velocity properties on these estimates.

Main Methods:

  • A 23-degree-of-freedom musculoskeletal model with 54 musculotendon units simulated one gait cycle.
  • Dynamic optimization minimized metabolic energy per unit distance, incorporating activation dynamics.

Related Experiment Videos

  • Static optimization minimized muscle activation squared, with and without force-length-velocity constraints, using moments from the dynamic solution.

    • Main Results:

    • Dynamic and static optimization solutions produced remarkably similar predictions for muscle forces and joint contact forces.
    • Activation dynamics and muscle force-length-velocity properties had minimal impact on the static solutions.
    • The study found no significant advantage of dynamic over static optimization for estimating muscle forces in normal gait.

    Conclusions:

    • For normal gait, static optimization is currently adequate for estimating muscle forces, provided inverse dynamics are accurately solved.
    • Dynamic optimization may be justified in specific scenarios not explored in this study.
    • Further research should delineate conditions where dynamic optimization offers a distinct advantage.