Wearable Single Lead Electrocardiogram

Wearable single-lead electrocardiogram (ECG) technology aims to provide continuous, accessible heart monitoring using compact, affordable devices. Current research emphasizes developing robust algorithms, often employing deep learning architectures like convolutional neural networks and vision transformers, to accurately detect arrhythmias and other cardiac events from single-lead ECG data, even in challenging conditions like high-intensity exercise. This field is significant for improving early diagnosis and remote patient monitoring of cardiovascular diseases, potentially revolutionizing preventative care and personalized medicine through efficient data analysis and AI-driven interpretation.