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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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