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Professor Jose Millet

Universitat Politecnica de Valencia, Valencia (Spain)

Member of:

European Society of Cardiology
European Heart Rythm Association

He is a Nucleus Member of the ESC WG on e-Cardiology and serves on the Board of Directors of Computing in Cardiology (CinC), where he leads the Clinical Translation Award. A Biomedical Engineer with three decades of experience at the interface of engineering and cardiology, his work bridges advanced signal processing and clinical electrophysiology. His expertise spans non-invasive cardiovascular signals (ECG, PPG, NIBP), experimental recordings, and high-density intracardiac electrogram analysis from multielectrode catheters, focusing on quantitative biomarkers for intelligent identification of fibrotic and arrhythmogenic substrate. He has supported the development of Biomedical Engineering academic programs at his institution. He contributed to the 2025 Scientific Statement on AI in Clinical EP and has served on international innovation evaluation panels, promoting responsible and clinically meaningful digital transformation in electrophysiology.

Digital twins in preventive cardiology

Event: ESC Preventive Cardiology 2025

Topic: Cardiovascular Signal Processing

Session: Artificial intelligence in preventive cardiology: challenges, barriers, and opportunities

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How does lead selection impact diagnosis through AI? Implications for continuous monitoring systems using convolutional neural networks

Event: ESC Congress 2024

Topic: Artificial Intelligence

Session: Artificial intelligence innovations in cardiac risk assessment and disease prediction

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Quantifying cardiac tissue heterogeneity using high-density grid catheter: validation in porcine model

Event: ESC Congress 2024

Topic: Electrocardiography (ECG)

Session: From cellular mechanisms to arrhythmias in non-cardiac diseases

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