Category: Research Highlights


  • Research Highlight – Machine Learning and ECG Classification

    Example VCG for a single ECG with multiple heartbeats. Self-Supervised Contrastive Learning Enables Robust ECG-Based Cardiac Classification We developed a contrastive self-supervised learning framework approach from large collections of unlabeled ECG recordings. We utilized three datasets in this study: a left ventricular ejection fraction-labeled ECG dataset, a large-scale unlabeled ECG dataset, and a serum potassium-labeled…

  • Research Highlight – ECGI and Cardiac Position

    Body Surface Recordings Can be Used to Identify the Position of the Heart In this study we demonstrated a novel optimization strategy to identify the position of the heart within the chest using recordings from the body surface alone. This method leverages the relative differences in body surface ECG maps between heart beats to optimize…