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

Year 2025, Volume: 14 Issue: 1, 94 - 100, 28.03.2025

Bekir Çetintav , Halil Berk Aygün , Hamza İshak Eseoğlu , Mehmet Murat Doğusan

Abstract

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.

Keywords

Hayvan Sağlığı İzleme, Dijital Teknolojilerde Hayvancılık, Değişim Noktası Analizi, Vücut Sıcaklığı, Kalp Atış Hızı, Oksijen Doygunluğu

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

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.

Keywords

Livestock Health Monitoring, Digital Technologies in Livestock Farming, Change Point Analysis, Body Temperature, Heart Rate, Oxygen Saturation

Ethical Statement

Ethical Approval Institution: Mehmet Akif Ersoy University Animal Experiments Local Ethics Committee Date: 27.10.2023 Approval no: 1203

Supporting Institution

This study was financed by 2209 Student Project Grant Number: 1919B012300482 by TUBITAK-The Scientific and Technological Research Council of Türkiye.

Thanks

The authors wish to thank Celil Aygun for his support during the application and data collection process.

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