Non-Invasive Lactate Estimation Using Wearable Sensors for Remote Fatigue Assessment in Horses

Hamed Darbandi*, Carolien Munsters, Paul Havinga

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Exercise-induced fatigue is a complex phenomenon that can significantly impact the health and welfare of horses. Traditional methods for assessing fatigue in horses, such as plasma lactate accumulation (LA) measurement, can be invasive and require the presence of a veterinarian on-site. In this paper, we propose the use of body-mounted inertial measurement units (IMUs) and a heart rate (HR) monitor as a non-invasive and veterinarian independent approach for assessing fatigue by estimating LA in horses during exercise. LA estimation models were trained using signal-based features and kinematic parameters extracted from IMUs. As an outcome, the accuracy of the best performing model based on two IMUs and HR was 0.11 mmol/L and 4.89% (root mean square error and mean absolute percentage error). This approach demonstrates the potential for remote health monitoring in animals, which can be particularly valuable for those in remote locations or with limited access to specialized veterinary care.

Original languageEnglish
Title of host publication2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2024
PublisherIEEE
Pages352-357
Number of pages6
ISBN (Electronic)9798350304367
DOIs
Publication statusPublished - 23 Apr 2024
Event2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2024 - Biarritz, France
Duration: 11 Mar 202415 Mar 2024

Publication series

Name2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2024

Conference

Conference2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2024
Country/TerritoryFrance
CityBiarritz
Period11/03/2415/03/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Fatigue
  • Horses
  • Inertial measurement unit
  • Machine learning

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