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Professor Jose Millet

Universitat Politecnica de Valencia, Valencia (Spain)
Membership: ESC Professional Member EHRA Member
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Biography
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.
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Contributor content

EHRA Studio by ESC TV - EHRA Innovation Forum: breakthrough ideas in cardiac electrophysiology
Presentation
EHRA Studio by ESC TV - EHRA Innovation Forum: breakthrough ideas in cardiac electrophysiology
Digital twins in preventive cardiology
Presentation
Digital twins in preventive cardiology
How does lead selection impact diagnosis through AI? Implications for continuous monitoring systems using convolutional neural networks
Presentation
How does lead selection impact diagnosis through AI? Implications for continuous monitoring systems using convolutional neural networks
Quantifying cardiac tissue heterogeneity using high-density grid catheter: validation in porcine model
Presentation
Quantifying cardiac tissue heterogeneity using high-density grid catheter: validation in porcine model

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