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ORCIDJérôme Van Zaen
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2020 – today
- 2024
[c20]Loris Constantin, Clémentine Aguet, Jérôme Van Zaen, Alia Lemkaddem, Loïc Jeanningros, Kurt De Jaegere, Sebastian R. Ott, Anne-Kathrin Brill, Christian M. Horvath, Jean-Philippe Thiran, Mathieu Lemay, Fabian Braun:
PPG-Based Sleep Staging Using SleepPPGNet: Extension to Wearables, Improvements, Limitations. EMBC 2024: 1-4- 2023
- [j2]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): 8232 (2023) - [c19]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: 1-4 - [c18]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: 1-4 - 2022
- [c17]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: 1-4 - [c16]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: 1-4 - 2021
- [c15]Clémentine Aguet, Loïc Jeanningros, Fabian Braun, Jérôme Van Zaen, Mathieu Lemay:
Interbeat Interval Detection from Synthetic Photoplethysmography Signals. CinC 2021: 1-4 - [c14]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: 1-4 - [c13]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: 463-466 - [i5]Pierre Louis Gaudilliere, Halla Sigurthorsdottir, Clémentine Aguet, Jérôme Van Zaen, Mathieu Lemay, Ricard Delgado-Gonzalo:
Generative Pre-Trained Transformer for Cardiac Abnormality Detection. CoRR abs/2110.04071 (2021) - 2020
- [c12]Halla Sigurthorsdottir, Jérôme Van Zaen, Ricard Delgado-Gonzalo, Mathieu Lemay:
ECG Classification With a Convolutional Recurrent Neural Network. CinC 2020: 1-4 - [c11]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: 910-913 - [c10]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: 5000-5003 - [i4]Halla Sigurthorsdottir, Jérôme Van Zaen, Ricard Delgado-Gonzalo, Mathieu Lemay:
ECG Classification with a Convolutional Recurrent Neural Network. CoRR abs/2009.13320 (2020) - [i3]Jérôme Van Zaen, Ricard Delgado-Gonzalo, Damien Ferrario, Mathieu Lemay:
Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks. CoRR abs/2010.03204 (2020)
2010 – 2019
- 2019
- [c9]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: 33-41 - [c8]Jérôme Van Zaen, Ricard Delgado-Gonzalo, Damien Ferrario, Mathieu Lemay:
Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks. BIOSTEC (Selected Papers) 2019: 311-327 - [c7]Clémentine Aguet, Jérôme Van Zaen, Mathieu Lemay:
Sepsis Detection Using Missingness Information. CinC 2019: 1-4 - [c6]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: 1-4 - [c5]Engin Türetken, Jérôme Van Zaen, Ricard Delgado-Gonzalo:
Embedded Deep Learning for Sleep Staging. SDS 2019: 95-96 - [i2]Engin Türetken, Jérôme Van Zaen, Ricard Delgado-Gonzalo:
Embedded Deep Learning for Sleep Staging. CoRR abs/1906.09905 (2019) - [i1]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 abs/1907.01513 (2019) - 2014
- [c4]Jérôme Van Zaen, Jody Hausmann, Kevin Salvi, Michel Deriaz:
Gesture recognition for interest detection in mobile applications. ICMCS 2014: 345-350 - [c3]Jody Hausmann, Kevin Salvi, Jérôme Van Zaen, Adrian Hindle, Michel Deriaz:
User behaviour recognition for interacting with an artistic mobile application. ICMCS 2014: 351-356 - 2013
- [j1]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): 969-980 (2013)
2000 – 2009
- 2009
- [c2]Meryem Jabloun, Jérôme Van Zaen, Jean-Marc Vesin:
Time-frequency analysis based on the phase-rectified signal averaging method. EUSIPCO 2009: 2303-2307 - 2008
- [c1]Yann Prudat, Jérôme Van Zaen, Jean-Marc Vesin:
Harmonic extension of an adaptive notch filter for frequency tracking. EUSIPCO 2008: 1-5
Coauthor Index
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