Publication

Automated Real-Time Atrial Fibrillation Detection on a Wearable Wireless Sensor Platform

Publications associées (30)

Gait analysis in children with cerebral palsy: bridging the gap between the laboratory and real life

Like 17 million people worldwide, an individual with cerebral palsy (CP) does not have the opportunity to walk harmoniously in society due to long-life impairments in movement and posture. The natural course of CP can be modulated by treatments and therapi ...

EPFL2020

Multi-Target Electrolyte Sensing Front-End for Wearable Physical Monitoring

Giovanni De Micheli, Sandro Carrara, Mandresy Ivan Ny Hanitra, Francesca Criscuolo

Wearable physiology is an expanding field, especially for sports applications that steadily require an accurate monitoring of the physical status of athletes. This work presents the co-design and the realization of an hardware front-end that enables multi- ...

IEEE2019

A Self-Aware Epilepsy Monitoring System for Real-Time Epileptic Seizure Detection

David Atienza Alonso, Amir Aminifar, Leila Cammoun, Farnaz Forooghifar

Epilepsy is one of the most prevalent paroxystic neurological disorders that can dramatically degrade the quality of life and may even lead to death. Therefore, real-time epilepsy monitoring and seizure detection has become important over the past decades. ...

2022

Multi-Modal Acute Stress Recognition Using Off-the-Shelf Wearable Devices

David Atienza Alonso, Amir Aminifar, Fabio Isidoro Tiberio Dell'Agnola, Adriana Arza Valdes, Victoriano Montesinos Canovas

Monitoring stress and, in general, emotions has attracted a lot of attention over the past few decades. Stress monitoring has many applications, including high-risk missions and surgical procedures as well as mental/emotional health monitoring. In this pap ...

IEEE2019

Wearable System for Real-Time Sensing of Biomarkers in Human Sweat

Junrui Zhang

Wearable sweat sensing systems offer non-invasive and real-time bio-data streaming solutions. They open the possibility for continuous monitoring of biomarkers' concentrations as well as their variation in sweat, which is a complementary to current passive ...

EPFL2019

Pre-Impact Detection Algorithm to Identify Tripping Events Using Wearable Sensors

Silvestro Micera

This study aimed to investigate the performance of an updated version of our pre-impact detection algorithm parsing out the output of a set of Inertial Measurement Units (IMUs) placed on lower limbs and designed to recognize signs of lack of balance due to ...

2019

REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm *

Jean-Marc Vesin, David Atienza Alonso, Sasan Yazdani, Adriana Arza Valdes, Elisabetta De Giovanni, Lara Orlandic

Wearable devices are an unobtrusive, cost-effective means of continuous ambulatory monitoring of chronic cardiovascular diseases. However, on these resource-constrained systems, electrocardiogram (ECG) processing algorithms must consume minimal power and m ...

2019

Ontology-Based Resource Allocation for Internet of Things

Dimitrios Kyritsis, Damiano Nunzio Arena, Zeinab Nezami

The Internet of Things has revolutionized the lifestyle in all aspects. Considering the huge number of connected objects and the plethora of real-time services, edge computing approaches have emerged. Resource allocation is one of the most important challe ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Hardware/Software Co-Design and Reliability Analysis of Ultra-Low Power Biomedical Devices

Soumya Subhra Basu

Smart health monitoring devices, known as Wireless Body Sensor Nodes (WBSN) are transforming today's health-care landscape, shifting it from traditional hospital-based methods toward more personalized approaches. Their demand is ever-increasing in the mode ...

EPFL2019

Real-time high-resolution omnidirectional imaging platform for drone detection and tracking

Yusuf Leblebici, Jean-Philippe Thiran, Vladan Popovic, Selman Ergünay, Gökçen Nurlu, Bilal Demir

Drones have become steadily affordable, which raises privacy and security concerns as well as interest in drone detection systems. On the other hand, drone detection is a challenging task due to small dimensions of drones, difficulty of long-distance detec ...

SPRINGER HEIDELBERG2020