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Updated: Jun 4, 2026

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
Published on: April 11, 2025
Arrhythmia discrimination in implantable cardioverter defibrillators using support vector machines applied to a new
Paola Milpied1, Rémi Dubois, Pierre Roussel
1Department of Advanced Clinical Research, Sorin CRM, 92143 Clamart, France. paola.milpied@sorin.com
Abstract:
Arrhythmia classification remains a major challenge for appropriate therapy delivery in implantable cardioverter defibrillators (ICDs). The purpose of this paper is to present a new algorithm for arrhythmia discrimination based on a statistical classification by support vector machines of a novel 2-D representation of electrograms (EGMs) named spatial projection of tachycardia (SPOT) EGMs. SPOT-based discrimination algorithm provided sensitivity and specificity of 98.8% and 91.3%, respectively, on a test database. A simplified version of the algorithm is also presented, which can be directly implemented in the ICD.
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