Jérôme Van Zaen

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 21

Top Topics

Machine Learning Approaches

Cardiac Arrhythmias

Top Venues

Publications

Sanghoon Chin, Jérôme Van Zaen, Séverine Denis, Enric Muntané, Stephan Schröder, Hans Martin, Laurent Balet, Steve Lecomte
An Artificial Neural Network to Eliminate the Detrimental Spectral Shift on Mid-Infrared Gas Spectroscopy. Sensors 23 (19) (2023)
Loïc Jeanningros, Jérôme Van Zaen, Clémentine Aguet, Mathieu Le Bloa, Alessandra Porretta, Cheryl Teres, Claudia Herrera, Giulia Domenichini, Patrizio Pascale, Adrian Luca, Jorge Solana Muñoz, Jean-Marc Vesin, Jean-Philippe Thiran, Etienne Pruvot, Mathieu Lemay, Fabian Braun
Abnormal Cardiac Rhythm Detection Based on Photoplethysmography Signals and a Recurrent Neural Network. CinC (2023)
Jérôme Van Zaen, Guillaume Bonnier, Jakub Parák, Mikko Salonen, Yara-Maria Proust, Luisa Marques, Alia Lemkaddem, Cyril Pellaton, Mathieu Lemay
Abnormal Rhythm Detection from a Single-Lead ECG via a Recurrent Neural Network. CinC (2023)
Loïc Jeanningros, Fabian Braun, Jérôme Van Zaen, Mathieu Le Bloa, Alessandra Porretta, Cheryl Teres, Claudia Herrera, Giulia Domenichini, Patrice Carroz, Denis Graf, Patrizio Pascale, Jean-Marc Vesin, Jean-Philippe Thiran, Etienne Pruvot, Mathieu Lemay
Pulse Wave Analysis of Photoplethysmography Signals to Enhance Classification of Cardiac Arrhythmias. CinC (2022)
Clémentine Aguet, Jérôme Van Zaen, Martin Proença, Guillaume Bonnier, Pascal Frossard, Mathieu Lemay
Generalization Capability of a Neural Network for Blood Pressure Estimation from Photoplethysmography. CinC (2022)
Pierre Louis Gaudilliere, Halla Sigurthorsdottir, Clémentine Aguet, Jérôme Van Zaen, Mathieu Lemay, Ricard Delgado-Gonzalo
Generative Pre-Trained Transformer for Cardiac Abnormality Detection. CinC (2021)
Clémentine Aguet, Loïc Jeanningros, Fabian Braun, Jérôme Van Zaen, Mathieu Lemay
Interbeat Interval Detection from Synthetic Photoplethysmography Signals. CinC (2021)
Clémentine Aguet, Jérôme Van Zaen, João Jorge, Martin Proença, Guillaume Bonnier, Pascal Frossard, Mathieu Lemay
Feature Learning for Blood Pressure Estimation from Photoplethysmography. EMBC (2021)
Pierre Louis Gaudilliere, Halla Sigurthorsdottir, Clémentine Aguet, Jérôme Van Zaen, Mathieu Lemay, Ricard Delgado-Gonzalo
Generative Pre-Trained Transformer for Cardiac Abnormality Detection. CoRR (2021)
Elsa Genzoni, Fabian Braun, Jérôme Van Zaen, Philippe Renevey, Mathieu Lemay, Etienne Pruvot, Jean-Marc Vesin
Challenging the Limitations of Atrial Fibrillation Detection in the Presence of Other Cardiac Arrythmias. EMBC (2020)
João Jorge, Martin Proença, Clémentine Aguet, Jérôme Van Zaen, Guillaume Bonnier, Phillipe Renevey, Alia Lemkaddem, Patrick Schoettker, Mathieu Lemay
Machine Learning Approaches For Improved Continuous, Non-occlusive Arterial Pressure Monitoring Using Photoplethysmography. EMBC (2020)
Halla Sigurthorsdottir, Jérôme Van Zaen, Ricard Delgado-Gonzalo, Mathieu Lemay
ECG Classification with a Convolutional Recurrent Neural Network. CoRR (2020)
Jérôme Van Zaen, Ricard Delgado-Gonzalo, Damien Ferrario, Mathieu Lemay
Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks. CoRR (2020)
Halla Sigurthorsdottir, Jérôme Van Zaen, Ricard Delgado-Gonzalo, Mathieu Lemay
ECG Classification With a Convolutional Recurrent Neural Network. CinC (2020)
Engin Türetken, Jérôme Van Zaen, Ricard Delgado-Gonzalo
Embedded Deep Learning for Sleep Staging. SDS (2019)
Jérôme Van Zaen, Olivier Chételat, Mathieu Lemay, Enric M. Calvo, Ricard Delgado-Gonzalo
Classification of Cardiac Arrhythmias from Single Lead ECG with a Convolutional Recurrent Neural Network. CoRR (2019)
Jérôme Van Zaen, Olivier Chételat, Mathieu Lemay, Enric M. Calvo, Ricard Delgado-Gonzalo
Classification of Cardiac Arrhythmias from Single Lead ECG with a Convolutional Recurrent Neural Network. BIOSIGNALS (2019)
Jérôme Van Zaen, Elsa Genzoni, Fabian Braun, Philippe Renevey, Etienne Pruvot, Jean-Marc Vesin, Mathieu Lemay
Atrial Fibrillation Detection from PPG Interbeat Intervals via a Recurrent Neural Network. CinC (2019)
Engin Türetken, Jérôme Van Zaen, Ricard Delgado-Gonzalo
Embedded Deep Learning for Sleep Staging. CoRR (2019)
Clémentine Aguet, Jérôme Van Zaen, Mathieu Lemay
Sepsis Detection Using Missingness Information. CinC (2019)
Jérôme Van Zaen, Ricard Delgado-Gonzalo, Damien Ferrario, Mathieu Lemay
Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks. BIOSTEC (Selected Papers) (2019)
Jody Hausmann, Kevin Salvi, Jérôme Van Zaen, Adrian Hindle, Michel Deriaz
User behaviour recognition for interacting with an artistic mobile application. ICMCS (2014)
Jérôme Van Zaen, Jody Hausmann, Kevin Salvi, Michel Deriaz
Gesture recognition for interest detection in mobile applications. ICMCS (2014)
Andréa Buttu, Etienne Pruvot, Jérôme Van Zaen, Alain Viso, Andrei Forclaz, Patrizio Pascale, Sanjiv M. Narayan, Jean-Marc Vesin
Adaptive frequency tracking of the baseline ECG identifies the site of atrial fibrillation termination by catheter ablation. Biomed. Signal Process. Control. 8 (6) (2013)
Meryem Jabloun, Jérôme Van Zaen, Jean-Marc Vesin
Time-frequency analysis based on the phase-rectified signal averaging method. EUSIPCO (2009)
Yann Prudat, Jérôme Van Zaen, Jean-Marc Vesin
Harmonic extension of an adaptive notch filter for frequency tracking. EUSIPCO (2008)