Harmonic extension of an adaptive notch filter for frequency tracking. - Yann Prudat; Jérôme Van Zaen; Jean-Marc Vesin (EUSIPCO, 2008)

Time-frequency analysis based on the phase-rectified signal averaging method. - Meryem Jabloun; Jérôme Van Zaen; Jean-Marc Vesin (EUSIPCO, 2009)

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)

User behaviour recognition for interacting with an artistic mobile application. - Jody Hausmann; Kevin Salvi; Jérôme Van Zaen; Adrian Hindle; Michel Deriaz (ICMCS, 2014)

Gesture recognition for interest detection in mobile applications. - Jérôme Van Zaen; Jody Hausmann; Kevin Salvi; Michel Deriaz (ICMCS, 2014)

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 (BIOSIGNALS, 2019)

Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks. - Jérôme Van Zaen; Ricard Delgado-Gonzalo; Damien Ferrario; Mathieu Lemay (BIOSTEC (Selected Papers), 2019)

Sepsis Detection Using Missingness Information. - Clémentine Aguet; Jérôme Van Zaen; Mathieu Lemay (CinC, 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 (CinC, 2019)

Embedded Deep Learning for Sleep Staging. - Engin Türetken; Jérôme Van Zaen; Ricard Delgado-Gonzalo (SDS, 2019)

ECG Classification With a Convolutional Recurrent Neural Network. - Halla Sigurthorsdottir; Jérôme Van Zaen; Ricard Delgado-Gonzalo; Mathieu Lemay (CinC, 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 (EMBC, 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 (EMBC, 2020)

Interbeat Interval Detection from Synthetic Photoplethysmography Signals. - Clémentine Aguet; Loïc Jeanningros; Fabian Braun; Jérôme Van Zaen; Mathieu Lemay (CinC, 2021)

Generative Pre-Trained Transformer for Cardiac Abnormality Detection. - Pierre Louis Gaudilliere; Halla Sigurthorsdottir; Clémentine Aguet; Jérôme Van Zaen; Mathieu Lemay; Ricard Delgado-Gonzalo (CinC, 2021)

Feature Learning for Blood Pressure Estimation from Photoplethysmography. - Clémentine Aguet; Jérôme Van Zaen; João Jorge; Martin Proença; Guillaume Bonnier; Pascal Frossard; Mathieu Lemay (EMBC, 2021)

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 (CinC, 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; et al. (CinC, 2022)

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; et al. (CinC, 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 (CinC, 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, 2023)

PPG-Based Sleep Staging Using SleepPPGNet: Extension to Wearables, Improvements, Limitations. - 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 (EMBC, 2024)