Jérôme Van Zaen

According to our database, Jérôme Van Zaen authored at least 21 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An Artificial Neural Network to Eliminate the Detrimental Spectral Shift on Mid-Infrared Gas Spectroscopy.

Sanghoon Chin, Jérôme Van Zaen, Séverine Denis, Enric Muntané, Stephan Schröder, Hans Martin, Laurent Balet, Steve Lecomte

Sensors, October, 2023

Abnormal Rhythm Detection from a Single-Lead ECG via a Recurrent Neural Network.

Jérôme Van Zaen, Guillaume Bonnier, Jakub Parák, Mikko Salonen, Yara-Maria Proust, Luisa Marques, Alia Lemkaddem, Cyril Pellaton, Mathieu Lemay

Proceedings of the Computing in Cardiology, 2023

Abnormal Cardiac Rhythm Detection Based on Photoplethysmography Signals and a Recurrent Neural Network.

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

Proceedings of the Computing in Cardiology, 2023

2022

Pulse Wave Analysis of Photoplethysmography Signals to Enhance Classification of Cardiac Arrhythmias.

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

Proceedings of the Computing in Cardiology, 2022

Generalization Capability of a Neural Network for Blood Pressure Estimation from Photoplethysmography.

Clémentine Aguet, Jérôme Van Zaen, Martin Proença, Guillaume Bonnier, Pascal Frossard, Mathieu Lemay

Proceedings of the Computing in Cardiology, 2022

2021

Feature Learning for Blood Pressure Estimation from Photoplethysmography.

Clémentine Aguet, Jérôme Van Zaen, João Jorge, Martin Proença, Guillaume Bonnier, Pascal Frossard, Mathieu Lemay

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Generative Pre-Trained Transformer for Cardiac Abnormality Detection.

Pierre Louis Gaudilliere, Halla Sigurthorsdottir, Clémentine Aguet, Jérôme Van Zaen, Mathieu Lemay, Ricard Delgado-Gonzalo

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Interbeat Interval Detection from Synthetic Photoplethysmography Signals.

Clémentine Aguet, Loïc Jeanningros, Fabian Braun, Jérôme Van Zaen, Mathieu Lemay

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Machine Learning Approaches For Improved Continuous, Non-occlusive Arterial Pressure Monitoring Using Photoplethysmography.

João Jorge, Martin Proença, Clémentine Aguet, Jérôme Van Zaen, Guillaume Bonnier, Phillipe Renevey, Alia Lemkaddem, Patrick Schoettker, Mathieu Lemay

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Challenging the Limitations of Atrial Fibrillation Detection in the Presence of Other Cardiac Arrythmias.

Elsa Genzoni, Fabian Braun, Jérôme Van Zaen, Philippe Renevey, Mathieu Lemay, Etienne Pruvot, Jean-Marc Vesin

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

ECG Classification With a Convolutional Recurrent Neural Network.

Halla Sigurthorsdottir, Jérôme Van Zaen, Ricard Delgado-Gonzalo, Mathieu Lemay

Proceedings of the Computing in Cardiology, 2020

2019

Embedded Deep Learning for Sleep Staging.

Engin Türetken, Jérôme Van Zaen, Ricard Delgado-Gonzalo

Proceedings of the 6th Swiss Conference on Data Science, 2019

Atrial Fibrillation Detection from PPG Interbeat Intervals via a Recurrent Neural Network.

Jérôme Van Zaen, Elsa Genzoni, Fabian Braun, Philippe Renevey, Etienne Pruvot, Jean-Marc Vesin, Mathieu Lemay

Proceedings of the 46th Computing in Cardiology, 2019

Sepsis Detection Using Missingness Information.

Clémentine Aguet, Jérôme Van Zaen, Mathieu Lemay

Proceedings of the 46th Computing in Cardiology, 2019

Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks.

Jérôme Van Zaen, Ricard Delgado-Gonzalo, Damien Ferrario, Mathieu Lemay

Proceedings of the Biomedical Engineering Systems and Technologies, 2019

Classification of Cardiac Arrhythmias from Single Lead ECG with a Convolutional Recurrent Neural Network.

Jérôme Van Zaen, Olivier Chételat, Mathieu Lemay, Enric M. Calvo, Ricard Delgado-Gonzalo

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

2014

Gesture recognition for interest detection in mobile applications.

Jérôme Van Zaen, Jody Hausmann, Kevin Salvi, Michel Deriaz

Proceedings of the 4th International Conference on Multimedia Computing and Systems, 2014

User behaviour recognition for interacting with an artistic mobile application.

Jody Hausmann, Kevin Salvi, Jérôme Van Zaen, Adrian Hindle, Michel Deriaz

Proceedings of the 4th International Conference on Multimedia Computing and Systems, 2014

2013

Adaptive frequency tracking of the baseline ECG identifies the site of atrial fibrillation termination by catheter ablation.

Andréa Buttu, Etienne Pruvot, Jérôme Van Zaen, Alain Viso, Andrei Forclaz, Patrizio Pascale, Sanjiv M. Narayan, Jean-Marc Vesin

Biomed. Signal Process. Control., 2013

2009

Time-frequency analysis based on the phase-rectified signal averaging method.

Meryem Jabloun, Jérôme Van Zaen, Jean-Marc Vesin

Proceedings of the 17th European Signal Processing Conference, 2009

2008

Harmonic extension of an adaptive notch filter for frequency tracking.

Yann Prudat, Jérôme Van Zaen, Jean-Marc Vesin

Proceedings of the 2008 16th European Signal Processing Conference, 2008