The Reliability of Pig Gait Inertial Signals: A Pilot Study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F21%3A00345528" target="_blank" >RIV/68407700:21460/21:00345528 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-64610-3_112" target="_blank" >https://doi.org/10.1007/978-3-030-64610-3_112</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-64610-3_112" target="_blank" >10.1007/978-3-030-64610-3_112</a>
Alternative languages
Result language
angličtina
Original language name
The Reliability of Pig Gait Inertial Signals: A Pilot Study
Original language description
Gait is an essential movement and has been shown to be a relevant measure for differentiating gait pathologies and neurological conditions in humans as well as in animals. Inertial measurement units have been suggested as a promising tool for gait analysis. Gait analysis performed in pre-clinical animal models can improve the conversional reliability of preclinical research. Large animal models can confirm and augment results achieved in rodents prior to adaptation to humans. Because pigs are of similar body size to humans and their brains are more like humans than rodent brain, pigs are a more direct assessment of dosing in a preclinical model. Pig gait analysis is used to characterise the pathologies of motor control and to evaluate the effectiveness of treatments performed previously in clinical settings. Nowadays, there is no information on the reliability of large animal model gait signals, namely pig gait signals. This paper presents the pilot analysis of gait angular velocity and acceleration provided by inertial sensors placed on the front shoulders and tests them for intra-individual reliability. An intra-class correlation was employed to analyse inertial sensor signals from three healthy pigs. Most of tested pigs performed with good reliability for roll and pitch angular velocity, and vertical and medio-lateral acceleration. Therefore, we can recommend these signals for the basis in of continuous signal analysis.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
<a href="/en/project/TJ02000092" target="_blank" >TJ02000092: Inertial system for pig walking measurement and analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
8th European Medical and Biological Engineering Conference
ISBN
978-3-030-64609-7
ISSN
1680-0737
e-ISSN
1433-9277
Number of pages
7
Pages from-to
1004-1010
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Portorož
Event date
Nov 29, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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