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Journals / Balıkesir Sağlık Bilimleri Dergisi / 2026 / Volume: 14 Issue: 1

Utilizing Physiological Metrics and Change Point Analysis for Real-Time Livestock Health Monitoring

Fizyolojik Metrikler ve Değişim Noktası Analizi Kullanılarak Gerçek Zamanlı Hayvan Sağlığı İzleme

Bekir Çetintav(BURDUR MEHMET AKİF ERSOY UNIVERSITY)0000-0001-7251-1211
Halil Berk Aygün(BURDUR MEHMET AKİF ERSOY UNIVERSITY)0009-0008-8418-5351
Hamza İshak Eseoğlu(BURDUR MEHMET AKİF ERSOY UNIVERSITY)0009-0005-2197-0879
Mehmet Murat Doğusan(BURDUR MEHMET AKİF ERSOY UNIVERSITY)0000-0002-5796-376X
Pages
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Publication Date
2025-03-28
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

By integrating multiple physiological metrics and advanced analysis, it offers a reliable framework for improving animal welfare and enabling early disease detection.

📌 3 Key Takeaways

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Objective & Hypothesis:Objective: This study introduces a smart ear tag system for real-time monitoring of cattle health, integrating physiological metrics such as body temperature, heart rate, and oxygen saturation (SpO2) with Change Point Analysis (CPA) to detect state changes.
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Key Findings & Data:Materials and Methods: The system was tested over a 7-day period on 10 cattle, monitoring health metrics continuously.
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Conclusion & Impact:By integrating multiple physiological metrics and advanced analysis, it offers a reliable framework for improving animal welfare and enabling early disease detection.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Livestock Health Monitoring · Digital Technologies in Livestock Farming · Change Point Analysis

Abstract

Objective: This study introduces a smart ear tag system for real-time monitoring of cattle health, integrating physiological metrics such as body temperature, heart rate, and oxygen saturation (SpO2) with Change Point Analysis (CPA) to detect state changes. Materials and Methods: The system was tested over a 7-day period on 10 cattle, monitoring health metrics continuously. CPA was applied to identify synchronized changes in the monitored parameters. The system's performance was evaluated based on its ability to detect potential health status changes while maintaining reliability and specificity. Results: The system successfully identified synchronized state changes in one animal, flagging a potential health issue, while showing no significant changes in the other nine animals. This indicates the system’s capability to differentiate between normal variability and significant health-related changes. Conclusion: The proposed smart ear tag system demonstrates significant potential for Precision Livestock Farming. By integrating multiple physiological metrics and advanced analysis, it offers a reliable framework for improving animal welfare and enabling early disease detection.

Özet

Amaç: Bu çalışma, vücut sıcaklığı, kalp atış hızı ve oksijen doygunluğu (SpO2) gibi fizyolojik metrikleri Değişim Noktası Analizi (CPA) ile entegre ederek, sığır sağlığının gerçek zamanlı izlenmesi için bir akıllı kulak etiketi sistemi sunmaktadır. Gereç ve Yöntem: Sistem, 7 gün boyunca 10 sığır üzerinde test edilerek sağlık metrikleri sürekli olarak izlenmiştir. İzlenen parametrelerdeki eş zamanlı değişiklikleri tespit etmek için CPA uygulanmıştır. Sistemin performansı, potansiyel sağlık durumu değişikliklerini tespit etme yeteneği ve güvenilirlik ile özgüllük açısından değerlendirilmiştir. Bulgular: Sistem, bir hayvanda eş zamanlı durum değişikliklerini başarıyla tespit ederek potansiyel bir sağlık sorunu işaret ederken, diğer dokuz hayvanda önemli bir değişiklik göstermemiştir. Bu durum, sistemin normal değişkenlik ile sağlıkla ilgili önemli değişiklikleri ayırt etme yeteneğini göstermektedir. Sonuç: Önerilen akıllı kulak etiketi sistemi, Hassas Hayvancılık Yönetimi için önemli bir potansiyele sahiptir. Çoklu fizyolojik metriklerin entegrasyonu ve ileri analiz yöntemleri sayesinde hayvan refahını artırmak ve hastalıkların erken teşhisini sağlamak için güvenilir bir çerçeve sunmaktadır.

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Cite This Article

Çetintav, B., Aygün, H. B., Eseoğlu, H. İ., Doğusan, M. M. (2025). Utilizing Physiological Metrics and Change Point Analysis for Real-Time Livestock Health Monitoring. Balıkesir Sağlık Bilimleri Dergisi, Volume: 14 Issue: 1. https://doi.org/10.53424/balikesirsbd.1603542

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