Electrocardiographic Imaging: Towards Automated Interpretation of Activation Maps

Abstract. In present clinical practice, information about the heart electrical activity is routinely gathered through ECG’s, which record electrical potential from just nine sites on the body surface. However, thanks to the latest technological advances, body surface potential maps are becoming available, as well as epicardial maps obtained noninvasively from body surface data through mathematical model-based reconstruction methods. Such maps can capture a number of electrical conduction pathologies that can be missed by ECG’s analysis. But, their interpretation requires skills that are possessed by very few experts. The Spatial Aggregation (SA) approach can play a crucial role in the identification of patterns and salient features in the map, and in the long-term goal of delivering an automated map interpretation tool to be used in a clinical context. In this paper, the focus is on epicardial activation isochrone maps. The salient features that characterize the heart electrical a...

• Type: Conference
• Year: 2005
• Where: AIME
• Authors: Liliana Ironi, Stefania Tentoni
• Keywords: AIME 2005, Artificial Intelligence, Body Surface, Electrical, Heart Electrical Activity