Canine Electrocardiogram

Canine electrocardiogram (ECG) analysis focuses on developing automated methods for interpreting ECG signals from dogs, aiming to improve diagnostic accuracy and efficiency in veterinary cardiology. Current research heavily utilizes deep learning models, including convolutional neural networks and various self-supervised learning approaches, to classify arrhythmias, predict mortality risk, and even estimate other physiological parameters like blood pressure using multimodal data (ECG and other biosignals). These advancements hold significant promise for enhancing veterinary care by providing faster, more accessible, and potentially more accurate diagnoses, particularly in areas with limited access to veterinary specialists.