19 citations · 40 across the 4 of their papers we have counts for
5 papers
Generative Pre-Trained Transformer for Cardiac Abnormality Detection
Pierre Louis Gaudilliere, Halla Sigurthorsdottir, Clémentine Aguet +3
ECG heartbeat classification plays a vital role in diagnosis of cardiac arrhythmia. The goal of the Physionet/CinC 2021 challenge was to accurately classify clinical diagnosis base…
Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks
Jérôme Van Zaen, Ricard Delgado-Gonzalo, Damien Ferrario Mathieu Lemay
Except for a few specific types, cardiac arrhythmias are not immediately life-threatening. However, if not treated appropriately, they can cause serious complications. In particula…
ECG Classification with a Convolutional Recurrent Neural Network
Halla Sigurthorsdottir, Jérôme Van Zaen, Ricard Delgado-Gonzalo +1
We developed a convolutional recurrent neural network to classify 12-lead ECG signals for the challenge of PhysioNet/ Computing in Cardiology 2020 as team Pink Irish Hat. The model…
Classification of Cardiac Arrhythmias from Single Lead ECG with a Convolutional Recurrent Neural Network
Jérôme Van Zaen, Olivier Chételat, Mathieu Lemay +2
While most heart arrhythmias are not immediately harmful, they can lead to severe complications. In particular, atrial fibrillation, the most common arrhythmia, is characterized by…
Using Trusted Execution Environments for Secure Stream Processing of Medical Data
Carlos Segarra, Ricard Delgado-Gonzalo, Mathieu Lemay +3
Processing sensitive data, such as those produced by body sensors, on third-party untrusted clouds is particularly challenging without compromising the privacy of the users generat…