Technologies Intelligent ECG signal processing

A complete library for ECG signal conditioning, processing and classification have been developed. This includes basic signal processing (filtering, baseline removal, noise level estimation), Event detection (beat detection by several algorithms, beat classification based on temporal characteristics, beat agroupation by similarity with templates), Ventricular fibrillation detection, paced beats detection, atrial fibrillation detection, heart rate variability analysis and heart rhythm classification. The routines have been incorporated by Eccosur in their HT103 holter system through 2 scientific contracts: “Research and development of pattern recognition and digital signal processing for ECG signals”, 2005 , and “Research and development of algorithms for atrial fibrillation detection in electrocardiography”, 2014.

Contact: Diego Milone, Leandro Di Persia