Heart rate variability analysis in horses for the diagnosis of arrhythmias
| Autor: | Mitchell, Katharyn J, Schwarzwald, Colin C |
|---|---|
| Přispěvatelé: | University of Zurich, Mitchell, Katharyn J |
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
040301 veterinary sciences 3400 General Veterinary 030204 cardiovascular system & hematology 0403 veterinary science 03 medical and health sciences 0302 clinical medicine Heart Rate Small animal Heart Rate Determination Atrial Fibrillation medicine Heart rate variability Animals Horses Intensive care medicine 630 Agriculture General Veterinary business.industry Cardiac arrhythmia Health technology Atrial fibrillation 04 agricultural and veterinary sciences medicine.disease 570 Life sciences biology Animal Science and Zoology Horse Diseases 10090 Equine Department 1103 Animal Science and Zoology business |
| Zdroj: | Veterinary journal (London, England : 1997). 268 |
| ISSN: | 1532-2971 |
| Popis: | Heart rate variability (HRV) analysis has been performed on ECG-derived data sets for more than 170 years but is currently undergoing a rapid evolution, thanks to the expansion of the human and veterinary medical technology sector. Traditional HRV analysis was initially performed to identify changes in vago-sympathetic balance, while the most recent focus has expanded to include the use of complex computer algorithms, neural networks and machine learning technology to identify cardiac arrhythmias, particularly atrial fibrillation (AF). Some of these techniques have recently been translated for use in the field of equine cardiology, with particular focus on improving the diagnosis of arrhythmias both at rest and during exercise. This review focuses on understanding the basic HRV variables and important factors to consider when collecting data for use in HRV analysis. In addition, the use of HRV analysis for the diagnosis of arrhythmias is discussed from human, small animal and equine perspectives. Finally, the future of HRV analysis is briefly introduced, including an overview of future developments in this rapidly expanding and exciting field. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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