Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Force Classification

Force Classification

Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...

Classification of Skeletal Muscle Fibers

Classification of Skeletal Muscle Fibers

Skeletal muscles continuously produce ATP to provide the energy that enables muscle contractions. Skeletal muscle fibers can be categorized into three types based on differences in their contraction speed and how they produce ATP, as well as physical differences related to these factors. Most human muscles contain all three muscle fiber types, albeit in varying proportions.
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...

Two-Dimensional Force System

Two-Dimensional Force System

A two-dimensional system in mechanical engineering involves the analysis of motion and forces in a plane. A two-dimensional force vector can be resolved into its components as:

Types of Forces

Types of Forces

In most situations, forces can be grouped into two categories: contact forces and field forces. Contact forces occur as a result of direct physical contact between objects. Field forces, however, act without the necessity of physical contact between objects. They depend on the presence of a "field" in the region of space surrounding the body under consideration. You can think of a field as a property of space that is detectable by the forces it exerts. Scientists think there are only four...

Pedigree Analysis

Pedigree Analysis

Pedigree Analysis

Pedigree Analysis

You might also read

Related Articles

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

Sort by

Same author

Theta Oscillations Selectively Support Attentional Exploration of Space.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026

Same author

Correction to: The effect of intrinsic image memorability on recollection and familiarity.

Memory & cognition·2021

Same author

The effect of intrinsic image memorability on recollection and familiarity.

Memory & cognition·2020

Same author

The physiology of wound healing.

Journal of wound care·2016

Same author

Caprine besnoitiosis: an emerging threat and its relationship to some other infections of ungulates by Besnoitia species.

Research in veterinary science·2014

Same author

A long-term in vivo investigation on the effects of xenogenous based, electrospun, collagen implants on the healing of experimentally-induced large tendon defects.

Journal of musculoskeletal & neuronal interactions·2013

Search research articles

Related Experiment Video

Updated: Jul 7, 2026

Construction of a Realistic, Whole-Body, Three-Dimensional Equine Skeletal Model using Computed Tomography Data

Construction of a Realistic, Whole-Body, Three-Dimensional Equine Skeletal Model using Computed Tomography Data

Published on: February 25, 2021

On the classification of equine force traces.

N A Busch¹, H S Ranu, I A Silver

¹Dept. of Pathol., Bristol Univ.

IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society

|January 1, 1991

Summary

Comparing an animal's limb trace to a population average is insufficient for health assessment. A horse's individual trace history is crucial for detecting injuries and locomotive changes.

More Related Videos

Kinematics and Ground Reaction Force Determination: A Demonstration Quantifying Locomotor Abilities of Young Adult, Middle-aged, and Geriatric Rats

Kinematics and Ground Reaction Force Determination: A Demonstration Quantifying Locomotor Abilities of Young Adult, Middle-aged, and Geriatric Rats

Published on: February 22, 2011

Postural Organization of Gait Initiation for Biomechanical Analysis Using Force Platform Recordings

Postural Organization of Gait Initiation for Biomechanical Analysis Using Force Platform Recordings

Published on: July 26, 2022

Related Experiment Videos

Last Updated: Jul 7, 2026

Construction of a Realistic, Whole-Body, Three-Dimensional Equine Skeletal Model using Computed Tomography Data

Construction of a Realistic, Whole-Body, Three-Dimensional Equine Skeletal Model using Computed Tomography Data

Published on: February 25, 2021

Kinematics and Ground Reaction Force Determination: A Demonstration Quantifying Locomotor Abilities of Young Adult, Middle-aged, and Geriatric Rats

Kinematics and Ground Reaction Force Determination: A Demonstration Quantifying Locomotor Abilities of Young Adult, Middle-aged, and Geriatric Rats

Published on: February 22, 2011

Postural Organization of Gait Initiation for Biomechanical Analysis Using Force Platform Recordings

Postural Organization of Gait Initiation for Biomechanical Analysis Using Force Platform Recordings

Published on: July 26, 2022

Area of Science:

Biomechanics
Veterinary Medicine
Animal Locomotion Analysis

Background:

Assessing limb health in animals often relies on comparing individual data to population averages.
This approach may not accurately detect subtle changes indicative of injury or pathology.

Purpose of the Study:

To demonstrate that comparing an animal's limb trace to a population average is insufficient for evaluating limb health.
To propose and validate a novel method for detecting limb abnormalities using historical trace data.

Main Methods:

Limb force components (vertical, lateral, transverse) were represented using Fourier-Legendre series coefficients.
A longitudinal history of these coefficients and relevant experimental data was compiled for each animal.
New traces were compared against the individual animal's historical data to identify deviations.

Main Results:

Preliminary findings suggest that individual historical trace comparison is superior to population averaging for identifying abnormalities.
Deviations from an established individual trace history can indicate potential injury or pathology.
The method allows for the detection of alterations in locomotive behavior over time.

Conclusions:

Limb health assessment requires comparison of current traces to an individual animal's historical data, not a general population average.
This personalized historical analysis is essential for early detection of locomotive alterations and potential pathologies.
The proposed methodology enhances the diagnostic capabilities in veterinary orthopedics.