Heart rate variability analysis in horses for the diagnosis of arrhythmias.
Abstract: 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.
Copyright © 2020 Elsevier Ltd. All rights reserved.
Publication Date: 2020-12-03 PubMed ID: 33468305DOI: 10.1016/j.tvjl.2020.105590Google Scholar: Lookup
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- Journal Article
- Review
- Bioinformatics
- Biotechnology
- Cardiac Arrhythmias
- Cardiovascular Health
- Clinical Study
- Computer-Assisted Analysis
- Diagnosis
- Diagnostic Technique
- Disease Diagnosis
- Electrocardiography
- Equine Diseases
- Equine Health
- Exercise
- Exercise Physiology
- Heart Rate
- Horses
- Machine Learning
- Neural Networks
- Technology
- Veterinary Medicine
- Veterinary Research
Summary
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The research article delves into the evolving methods of heart rate variability (HRV) analysis, specifically in relation to identifying and diagnosing cardiac arrhythmias in horses. It includes a study on the implementation of computer algorithms, machine learning, and neural networks for better diagnosis.
Heart Rate Variability Analysis
- The HRV analysis is a method used to study the changes in the time interval between heartbeats. The standard interpretation of HRV has shifted from merely analysing vago-sympathetic balance, which refers to the interaction between the vagus nerve and sympathetic nervous system that helps regulate heart rate, to a broader focus.
- The study discusses the efficacy of diverse, complex computer algorithms, machine learning technology, and neural networks in HRV analysis. These improved methods aim to refine the identification and diagnosis of cardiac arrhythmias, specifically atrial fibrillation, a condition characterized by irregular and often rapid heart rate.
Use in Equine Cardiology
- These advanced techniques have been applied recently in equine cardiology, with the key objective of enhancing the diagnosis of arrhythmias in horses; both while at rest and during physical exertion.
- Equine cardiology has thus been greatly impacted by the advancements in HRV analysis, as it allows for more accurate and efficient diagnosis leading to improved treatment strategies.
Data Collection for HRV Analysis
- The research article throws light on the importance of the factors to be considered when collecting data for HRV analysis.
- Understanding the essential HRV variables is crucial to procure useful and reliable data sets, which will in turn significantly affect the results and conclusions of the HRV analysis.
HRV Analysis Across Different Species
- The diagnostic use of HRV analysis is discussed across various species, including humans and small animals, providing a broader perspective on the applicability and effectiveness of HRV analysis in different fields.
Future of HRV Analysis
- The research article concludes with a brief overview of potential future developments in the field of HRV analysis.
- Recognizing the rapid expansion of this discipline, the authors hint at the continuous evolution and improvement of HRV technology to achieve higher diagnostic precision.
Cite This Article
APA
Mitchell KJ, Schwarzwald CC.
(2020).
Heart rate variability analysis in horses for the diagnosis of arrhythmias.
Vet J, 268, 105590.
https://doi.org/10.1016/j.tvjl.2020.105590 Publication
Researcher Affiliations
- Equine Department, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 260, Zurich, 8057, Switzerland. Electronic address: kmitchell@vetclinics.uzh.ch.
- Equine Department, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 260, Zurich, 8057, Switzerland.
MeSH Terms
- Animals
- Atrial Fibrillation / diagnosis
- Atrial Fibrillation / veterinary
- Heart Rate / physiology
- Heart Rate Determination / methods
- Heart Rate Determination / veterinary
- Horse Diseases / diagnosis
- Horses
Conflict of Interest Statement
Declaration of Competing Interest The authors report no declarations of interest.
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