Non-Invasive Monitoring of Vital Signs in Calves Using Thermal Imaging Technology

Ehsan Sadeghi; Zinan Guo; Alessandro Chiumento; Paul Havinga

Non-Invasive Monitoring of Vital Signs in Calves Using Thermal Imaging Technology

Ehsan Sadeghi, Zinan Guo, Alessandro Chiumento, Paul Havinga

Research output: Working paper › Preprint › Academic

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Abstract

This study presents a non-invasive method using thermal imaging to estimate heart and respiration rates in calves, avoiding the stress from wearables. Using Kernelised Correlation Filters (KCF) for movement tracking and advanced signal processing, we targeted one ROI for respiration and four for heart rate based on their thermal correlation. Achieving Mean Absolute Percentage Errors (MAPE) of 3.08% for respiration and 3.15% for heart rate validates the efficacy of thermal imaging in vital signs monitoring, offering a practical, less intrusive tool for Precision Livestock Farming (PLF), improving animal welfare and management.

Original language	English
Publisher	ArXiv.org
Number of pages	5
Publication status	Published - 19 May 2024

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eess.SP

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2405.11532v1Submitted version, 1.05 MBLicence: CC BY-NC-SA

1 Conference contribution

Non-Invasive Monitoring of Vital Signs in Calves Using Thermal Imaging
Sadeghi, E., Guo, Z., Chiumento, A. & Havinga, P., 2024, 11th European Conference on Precision Livestock Farming. Berckmans, D., Tassinari, P. & Torreggiani, D. (eds.). European Conference on Precision Livestock Farming, p. 1289-1296 8 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Cite this

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Non-Invasive Monitoring of Vital Signs in Calves Using Thermal Imaging Technology

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Non-Invasive Monitoring of Vital Signs in Calves Using Thermal Imaging

Cite this