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Artificial intelligence for detection of ventricular oversensing: Machine learning approaches for noise detection within nonsustained ventricular tachycardia episodes remotely transmitted by pacemakers and implantable cardioverter-defibrillators

Marc Strik, Benjamin Sacristan, Pierre Bordachar, Josselin Duchâteau, Romain Eschalier, Pierre Mondoly, Julien Laborderie, Narimane Gassa, Néjib Zemzemi, Maxime Laborde, J. Aparicio Garrido, Clara Matencio Perabla, Guillermo Jiménez-Pérez, Óscar Cámara, Michel Haı̈ssaguerre, Rémi Dubois, Sylvain Ploux

2023Heart Rhythm19 citationsDOIOpen Access PDF

Topics & Concepts

MedicineVentricular tachycardiaImplantable cardioverter-defibrillatorMachine learningArtificial intelligenceTest setTachycardiaCardiologyInternal medicineMedical emergencyComputer scienceCardiac pacing and defibrillation studiesECG Monitoring and AnalysisPhonocardiography and Auscultation Techniques
Artificial intelligence for detection of ventricular oversensing: Machine learning approaches for noise detection within nonsustained ventricular tachycardia episodes remotely transmitted by pacemakers and implantable cardioverter-defibrillators | Litcius