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

Hamed Darbandi, Carolien Munsters, Paul J.M. Havinga

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

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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 publication 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
PublisherIEEE
Pages352-357
Number of pages6
ISBN (Electronic)979-8-3503-0436-7
DOIs
Publication statusPublished - 23 Apr 2024
EventIEEE International Conference on Pervasive Computing and Communication, PerCom 2024 - Casino Municipal, Biarritz, France
Duration: 11 Mar 202415 Mar 2024
Conference number: 22

Conference

ConferenceIEEE International Conference on Pervasive Computing and Communication, PerCom 2024
Abbreviated titlePerCom2024
Country/TerritoryFrance
CityBiarritz
Period11/03/2415/03/24

Keywords

  • 2024 OA procedure

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