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A study of the Achilles tendon while running.

Aniţaş R, Lucaciu D - Clujul Med (2013)

Bottom Line: Mathematical models using second order and fourth order polynomials were employed, as well as an approximation using known maximal force.The increase in the accuracy of modeling was determined as the order of the polynomial function increased.Achieving an accurate predictor function is essential in understanding the biomechanics of the Achilles tendon.

View Article: PubMed Central - PubMed

Affiliation: Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania. "Alexandru Rădulescu" Orthopedics Clinic, Cluj-Napoca, Romania.

ABSTRACT
The following study attempts to elaborate a model of the Achilles tendon while in the process of running, specifically during a step that is part of a running sequence. Data are collected with the help of a force plate and then is processed and modeled to serve as a starting point and comparison to a mathematical model using polynomial functions. The data collected were filtered to diminish recording of "noise" and an empirical model was established. Mathematical models using second order and fourth order polynomials were employed, as well as an approximation using known maximal force. The increase in the accuracy of modeling was determined as the order of the polynomial function increased. Achieving an accurate predictor function is essential in understanding the biomechanics of the Achilles tendon.

No MeSH data available.


Related in: MedlinePlus

Median regression function applied to the force cloud.
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f2-cm-86-36: Median regression function applied to the force cloud.


A study of the Achilles tendon while running.

Aniţaş R, Lucaciu D - Clujul Med (2013)

Median regression function applied to the force cloud.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4462484&req=5

f2-cm-86-36: Median regression function applied to the force cloud.
Bottom Line: Mathematical models using second order and fourth order polynomials were employed, as well as an approximation using known maximal force.The increase in the accuracy of modeling was determined as the order of the polynomial function increased.Achieving an accurate predictor function is essential in understanding the biomechanics of the Achilles tendon.

View Article: PubMed Central - PubMed

Affiliation: Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania. "Alexandru Rădulescu" Orthopedics Clinic, Cluj-Napoca, Romania.

ABSTRACT
The following study attempts to elaborate a model of the Achilles tendon while in the process of running, specifically during a step that is part of a running sequence. Data are collected with the help of a force plate and then is processed and modeled to serve as a starting point and comparison to a mathematical model using polynomial functions. The data collected were filtered to diminish recording of "noise" and an empirical model was established. Mathematical models using second order and fourth order polynomials were employed, as well as an approximation using known maximal force. The increase in the accuracy of modeling was determined as the order of the polynomial function increased. Achieving an accurate predictor function is essential in understanding the biomechanics of the Achilles tendon.

No MeSH data available.


Related in: MedlinePlus