Valérie Chetboul, Eric Humbert, Louis Dougoud, Guillaume Lorre
{"title":"狗在自然环境中的静息心率和呼吸率：一项长期、国际、前瞻性研究的新见解，该研究使用生物识别设备对703只狗进行纵向无创心肺监测（AI-COLLAR研究）。","authors":"Valérie Chetboul, Eric Humbert, Louis Dougoud, Guillaume Lorre","doi":"10.3389/fvets.2025.1667355","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Wearable devices are increasingly used in human medicine to monitor various cardiovascular parameters and support heart health. Similar tools have recently emerged in veterinary medicine. However, their current limitation is the lack of large-scale data in healthy animals, a prerequisite for identifying potentially pathological variations using artificial intelligence (AI)-based algorithms.</p><p><strong>Objectives: </strong>To establish a large database of resting heart rate (HR) and respiratory rate (RR) recorded over extended periods using a commercially available biometric health-monitoring device in a large international cohort of apparently healthy (AH) dogs.</p><p><strong>Animals: </strong>703 AH dogs (median age [interquartile range] = 3.8 years [2.2-7.2]; body weight = 23.0 kg [14.8-31.8]).</p><p><strong>Methods: </strong>Prospective observational study (2022-2025) including AH dogs of any age, breed, and sex, provided owners confirmed their dog's apparent good health via a dedicated questionnaire.</p><p><strong>Results: </strong>Median device wear time was 189.0 days [51.0-433.0]. Both HR and RR significantly decreased early in life, then stabilized, with a slight increase in older dogs. Both were also lower at night than during the day (<i>p</i> < 0.0001). In dogs living in the Northern Hemisphere, HR and RR showed opposite significant seasonal patterns. Effects of sex, weight and breed were also analyzed.</p><p><strong>Conclusion and clinical importance: </strong>This unique large-scale biometric study provides real-world reference data on resting HR and RR in dogs and the influence of intrinsic (age, sex, weight, breed) and extrinsic (circadian rhythm, season) factors on these vital signs, thus offering new insights into canine cardiorespiratory physiology under natural conditions, and laying the foundation for future AI-based detection of abnormal patterns.</p>","PeriodicalId":12772,"journal":{"name":"Frontiers in Veterinary Science","volume":"12 ","pages":"1667355"},"PeriodicalIF":2.9000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12477687/pdf/","citationCount":"0","resultStr":"{\"title\":\"Resting heart and respiratory rates in dogs in their natural environment: new insights from a long-term, international, prospective study in a cohort of 703 dogs using a biometric device for longitudinal non-invasive cardiorespiratory monitoring (the AI-COLLAR study).\",\"authors\":\"Valérie Chetboul, Eric Humbert, Louis Dougoud, Guillaume Lorre\",\"doi\":\"10.3389/fvets.2025.1667355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Wearable devices are increasingly used in human medicine to monitor various cardiovascular parameters and support heart health. Similar tools have recently emerged in veterinary medicine. However, their current limitation is the lack of large-scale data in healthy animals, a prerequisite for identifying potentially pathological variations using artificial intelligence (AI)-based algorithms.</p><p><strong>Objectives: </strong>To establish a large database of resting heart rate (HR) and respiratory rate (RR) recorded over extended periods using a commercially available biometric health-monitoring device in a large international cohort of apparently healthy (AH) dogs.</p><p><strong>Animals: </strong>703 AH dogs (median age [interquartile range] = 3.8 years [2.2-7.2]; body weight = 23.0 kg [14.8-31.8]).</p><p><strong>Methods: </strong>Prospective observational study (2022-2025) including AH dogs of any age, breed, and sex, provided owners confirmed their dog's apparent good health via a dedicated questionnaire.</p><p><strong>Results: </strong>Median device wear time was 189.0 days [51.0-433.0]. Both HR and RR significantly decreased early in life, then stabilized, with a slight increase in older dogs. Both were also lower at night than during the day (<i>p</i> < 0.0001). In dogs living in the Northern Hemisphere, HR and RR showed opposite significant seasonal patterns. Effects of sex, weight and breed were also analyzed.</p><p><strong>Conclusion and clinical importance: </strong>This unique large-scale biometric study provides real-world reference data on resting HR and RR in dogs and the influence of intrinsic (age, sex, weight, breed) and extrinsic (circadian rhythm, season) factors on these vital signs, thus offering new insights into canine cardiorespiratory physiology under natural conditions, and laying the foundation for future AI-based detection of abnormal patterns.</p>\",\"PeriodicalId\":12772,\"journal\":{\"name\":\"Frontiers in Veterinary Science\",\"volume\":\"12 \",\"pages\":\"1667355\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12477687/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Veterinary Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.3389/fvets.2025.1667355\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"VETERINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Veterinary Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.3389/fvets.2025.1667355","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
Resting heart and respiratory rates in dogs in their natural environment: new insights from a long-term, international, prospective study in a cohort of 703 dogs using a biometric device for longitudinal non-invasive cardiorespiratory monitoring (the AI-COLLAR study).
Background: Wearable devices are increasingly used in human medicine to monitor various cardiovascular parameters and support heart health. Similar tools have recently emerged in veterinary medicine. However, their current limitation is the lack of large-scale data in healthy animals, a prerequisite for identifying potentially pathological variations using artificial intelligence (AI)-based algorithms.
Objectives: To establish a large database of resting heart rate (HR) and respiratory rate (RR) recorded over extended periods using a commercially available biometric health-monitoring device in a large international cohort of apparently healthy (AH) dogs.
Animals: 703 AH dogs (median age [interquartile range] = 3.8 years [2.2-7.2]; body weight = 23.0 kg [14.8-31.8]).
Methods: Prospective observational study (2022-2025) including AH dogs of any age, breed, and sex, provided owners confirmed their dog's apparent good health via a dedicated questionnaire.
Results: Median device wear time was 189.0 days [51.0-433.0]. Both HR and RR significantly decreased early in life, then stabilized, with a slight increase in older dogs. Both were also lower at night than during the day (p < 0.0001). In dogs living in the Northern Hemisphere, HR and RR showed opposite significant seasonal patterns. Effects of sex, weight and breed were also analyzed.
Conclusion and clinical importance: This unique large-scale biometric study provides real-world reference data on resting HR and RR in dogs and the influence of intrinsic (age, sex, weight, breed) and extrinsic (circadian rhythm, season) factors on these vital signs, thus offering new insights into canine cardiorespiratory physiology under natural conditions, and laying the foundation for future AI-based detection of abnormal patterns.
期刊介绍：
Frontiers in Veterinary Science is a global, peer-reviewed, Open Access journal that bridges animal and human health, brings a comparative approach to medical and surgical challenges, and advances innovative biotechnology and therapy.
Veterinary research today is interdisciplinary, collaborative, and socially relevant, transforming how we understand and investigate animal health and disease. Fundamental research in emerging infectious diseases, predictive genomics, stem cell therapy, and translational modelling is grounded within the integrative social context of public and environmental health, wildlife conservation, novel biomarkers, societal well-being, and cutting-edge clinical practice and specialization. Frontiers in Veterinary Science brings a 21st-century approach—networked, collaborative, and Open Access—to communicate this progress and innovation to both the specialist and to the wider audience of readers in the field.
Frontiers in Veterinary Science publishes articles on outstanding discoveries across a wide spectrum of translational, foundational, and clinical research. The journal''s mission is to bring all relevant veterinary sciences together on a single platform with the goal of improving animal and human health.
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