Sensitivity of forelimb swing phase inverse dynamics to inertial parameter errors.
Abstract: Estimations of segmental inertial parameters are required for true inverse dynamics calculations during the swing phase of locomotion. This study attempts to quantify the effect of inertial parameter errors on inverse dynamic solutions. Swing phase forelimb net joint moments and powers at the trot (mean +/- s.d 3.03 +/- 0.16 m/s) were calculated with sagittal plane kinematic data from 5 Dutch Warmbloods using inertial parameters based on published regression equations for the breed. Significant peaks in the net moment and power curves for each forelimb joint were identified and measured. Net joint moments and powers were then recalculated after varying the segment mass, location of the segment centre of mass and the mass moment of inertia separately for each of the limb segments. Peak values for the net joint moments and joint powers were determined after each variation, and the percent change in peak value per percent change in inertial parameter was calculated. Segment mass was the most influential parameter, followed by location of the centre of mass. Changes in the mass moment of inertia showed little effect on peak values. The most influential single inertial parameter was the mass of the hoof segment with a mean +/- s.d effect 0.74 +/- 0.22 and 0.69 +/- 0.18 percent peak change per percent parameter change on net joint moments and powers, respectively, across all joints. The results demonstrate the need for an accurate approximation of segment masses during the swing phase, especially the hoof, and the need to account for any additional masses in the model, such as shoes.
Publication Date: 2001-11-28 PubMed ID: 11721563DOI: 10.1111/j.2042-3306.2001.tb05353.xGoogle Scholar: Lookup
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- Evaluation Study
- Journal Article
- Research Support
- Non-U.S. Gov't
Summary
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The research study explores how changes in inertial parameters, specifically the mass and location of mass in limb segments, can impact the swing phase of locomotion in horses, concluding that the hoof mass is the most influential parameter in this context.
Objective of the Research
- The research aimed to investigate the sensitivity of the swing phase in quadrupedal locomotion (specifically, horse trotting) to changes in certain inertial parameters.
Methodology
- The research used sagittal plane kinematic data collected from five Dutch Warmblood horses.
- The researchers calculated swing phase forelimb net joint moments and powers at the trot using inertial parameters based on published regression equations.
- Significant peaks in the net moment and power curves were identified and measured for each forelimb joint.
- The researchers recalculated these values after modifying each of the following inertial parameters: segment mass, location of the segment centre of mass, and the mass moment of inertia.
- They then calculated the percent change in peak values per percent change in inertial parameters to pinpoint which parameters exerted the greatest influence.
Findings
- The study found that the segment mass was the most influential parameter in altering the net joint moments and powers, followed by the location of the centre of mass.
- Changes in the mass moment of inertia had a minimal impact on peak values.
- The single most influential inertial parameter was found to be the mass of the hoof segment, influencing peak changes in net joint moments and powers across all joints.
Implications
- The findings underscore the importance of accurately approximating segment masses, especially the hoof, during the swing phase of locomotion.
- They also highlight the need to account for additional masses in the model, such as shoes, which can significantly alter the locomotive dynamics.
Cite This Article
APA
Lanovaz JL, Clayton HM.
(2001).
Sensitivity of forelimb swing phase inverse dynamics to inertial parameter errors.
Equine Vet J Suppl(33), 27-31.
https://doi.org/10.1111/j.2042-3306.2001.tb05353.x Publication
Researcher Affiliations
- Mary Anne McPhail Equine Performance Center, College of Veterinary Medicine, Michigan State University, East Lansing, Michigan 48824, USA.
MeSH Terms
- Animals
- Biomechanical Phenomena
- Computer Simulation / statistics & numerical data
- Elbow Joint / physiology
- Forelimb / physiology
- Gait / physiology
- Horses / physiology
- Joints / physiology
- Physical Conditioning, Animal / physiology
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