Utilizing Physiological Metrics and Change Point Analysis for Real-Time Livestock Health Monitoring.
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 test...
| Published in: | Balikesir Health Sciences Journal / Balıkesir Sağlık Bilimleri Dergisi Vol. 14; no. 1; pp. 94 - 101 |
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| Main Authors: | , , , |
| Format: | pictorial research tables/charts Journal Article |
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Balikesir Health Sciences Journal (BAUN Health Sci J)
nis2025
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184933963&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184933963 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 21469601 MY61 jtl: Balikesir Health Sciences Journal / Balıkesir Sağlık Bilimleri Dergisi issn: 21469601 maglogo: N pubinfo: dt: nis2025 vid: 14 iid: 1 pid: 14731 pub: Balikesir Health Sciences Journal (BAUN Health Sci J) artinfo: ui: 184933963 184933963 184933963 10.53424/balikesirsbd.1603542 184933963 ppf: 94 ppct: 7 formats: tig: atl: Utilizing Physiological Metrics and Change Point Analysis for Real-Time Livestock Health Monitoring. aug: au: CETINTAV, Bekir AYGUN, Halil Berk ESEOGLU, Hamza Ishak DOGUSAN, Mehmet Murat affil: Burdur Mehmet Akif Ersoy University, Faculty of Veterinary Medicine, Department of Biostatistics. sug: subj: Biophysiological Methods Utilization Monitoring, Physiologic Digital Technology Health Status Evaluation Task Performance and Analysis Evaluation Wearable Sensors Instrument Construction Instrument Validation Funding Source Animal Studies Cattle Reliability Body Temperature Heart Rate Oxygen Saturation Software Descriptive Statistics Hemostasis Agriculture ab: 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 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 pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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