Electrocardiographic Analysis of Five Canine Breeds Using an Arduino UNO Prototype: A Signal Evaluation

Abstract

This study presents a quantitative and experimental approach to evaluate cardiac performance in various dog breeds through electrocardiography (ECG). The methodology involves the use of the Python programming language for signal analysis and the implementation of a prototype using Arduino Uno, the AD8232 heart rate sensor, and banana limb electrodes. The research focuses on five canine breeds: Chihuahua, Schnauzer, French Poodle, mixed breed, and Shih-Tzu. The results demon- strate the effectiveness of the prototype in efficiently capturing and processing cardiac signals. Accurate parameterization for cardiac analysis, including sampling frequency and filter settings, was achieved. Integration tests comparing cardiac responses between different dog breeds were conducted, revealing valuable insights. The study emphasizes the applicability and reliability of the developed system, contributing to the advancement of cardiac monitoring at home.