Publication
REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm *
Related publications (33)
Implementation of an epicardial implantable MEMS sensor for continuous and real-time postoperative assessment of left ventricular activity in adult minipigs over a short- and long-term period
The sensing of left ventricular (LV) activity is fundamental in the diagnosis and monitoring of cardiovascular health in high-risk patients after cardiac surgery to achieve better short- and long-term outcome. Conventional approaches rely on noninvasive me ...
Aip Publishing2024Finding information-rich electrocardiographic biomarkers to characterize atrial fibrillation.
Atrial fibrillation (AF) is the most common cardiac arrhythmia; it will affect one in four adults worldwide in their lifetime. AF has serious consequences, including drastically increased risk of stroke. Catheter ablation surgery is an established treatmen ...
EPFL2023Single-arm diagnostic electrocardiography with printed graphene on wearable textiles
Stimulated by the COVID-19 outbreak, the global healthcare industry better acknowledges the necessity of innovating novel methods for remote healthcare monitoring and treating patients outside clinics. Here we report the development of two different types ...
ELSEVIER SCIENCE SA2023Monitoring of Cardiovascular and Neurological Diseases Using Wearable Devices
In this thesis, I focus on monitoring of patients suffering from cardiovascular and neurological diseases through the use of wearable devices. The main diseases considered in this thesis are atrial fibrillation (AF), myocardial infarction (MI), and epileps ...
EPFL2020Automatic 12-lead ECG Classification Using a Convolutional Network Ensemble
The 12-lead electrocardiogram (ECG) is a major diagnostic test for cardiovascular diseases and enhanced automated analysis tools might lead to more reliable diagnosis and improved clinical practice. Deep neural networks are models composed of stacked trans ...
IEEE2020Modular Design and Optimization of Biomedical Applications for Ultra-Low Power Heterogeneous Platforms
David Atienza Alonso, Miguel Peon Quiros, Simone Machetti, Luca Benini, Benoît Walter Denkinger, Elisabetta De Giovanni, Fabio Montagna
In the last years, remote health monitoring is becoming an essential branch of health care with the rapid development of wearable sensors technology. To meet the demand of new more complex applications and ensuring adequate battery lifetime, wearable senso ...
2020Heart Rate Variability Triangular Index as a Predictor of Cardiovascular Mortality in Patients With Atrial Fibrillation
Jean-Marc Vesin, Vincent Schlageter
Background Impaired heart rate variability (HRV) is associated with increased mortality in sinus rhythm. However, HRV has not been systematically assessed in patients with atrial fibrillation (AF). We hypothesized that parameters of HRV may be predictive o ...
WILEY2020Novel Low Complexity Biomedical Signal Processing Techniques for Online Applications
Biomedical signal processing has become a very active domain of research nowadays. With the advent of portable monitoring devices, from accelerometer-enabled bracelets and smart-phones to more advanced vital sign tracking body area networks, this field has ...
EPFL2018Robust ECG Denoising for eHealth Applications
Portable monitoring devices have provided an important cost-effective solution in the development of eHealth applications, providing opportunities for population-wide promotion of physical activity. Monitoring heart profile parameters during extensive acti ...
IEEE2018Concealed abnormal atrial phenotype in patients with Brugada syndrome and no history of atrial fibrillation
Jean-Marc Vesin, Adrian Luca, Sasan Yazdani, Lukas Kappenberger
Objectives The electrocardiogram (ECG) of patients with BrS in sinus rhythm might reflect intrinsic atrial electrical abnormalities independent from any previous atrial fibrillation (AF). Aim of this study is to investigate the presence of P-wave abnormali ...
Elsevier2018