19 citations · 25 across the 4 of their papers we have counts for
13 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…
KEVLAR-TZ: A Secure Cache for ARM TrustZone
Oscar Benedito, Ricard Delgado-Gonzalo, Valerio Schiavoni
Edge devices are increasingly in charge of storing privacy-sensitive data, in particular implantables, wearables, and nearables can potentially collect and process high-resolution…
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…
MQT-TZ: Hardening IoT Brokers Using ARM TrustZone
Carlos Segarra, Ricard Delgado-Gonzalo, Valerio Schiavoni
The publish-subscribe paradigm is an efficient communication scheme with strong decoupling between the nodes, that is especially fit for large-scale deployments. It adapts natively…
MQT-TZ: Secure MQTT Broker for Biomedical Signal Processing on the Edge
Carlos Segarra, Ricard Delgado-Gonzalo, Valerio Schiavoni
Physical health records belong to healthcare providers, but the information contained within belongs to each patient. In an increasing manner, more health-related data is being acq…