Francisco Javier Rincon Vallejos

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Method for detecting abnormalities in an electrocardiogram

David Atienza Alonso, Giovanni Ansaloni, Francisco Javier Rincon Vallejos, Ruben Braojos Lopez, Srinivasan Murali

A method for classification of ECG beats into normal and different categories of abnormal beats. The method comprises the following steps, performed on a computing platform: a. performing a training phase comprising taking as an input one or more ECG beats ...

2015

A Wearable Device For Physical and Emotional Health Monitoring

David Atienza Alonso, Francisco Javier Rincon Vallejos, Srinivasan Murali

Personal health monitoring systems are emerging as promising solutions to develop ultra-small, portable devices that can continuously monitor and process several vital body parameters. In this work, we present a wearable device for physical and emotional h ...

2015

Estimation of Blood Pressure and Pulse Transit Time Using Your Smartphone

David Atienza Alonso, Francisco Javier Rincon Vallejos, Srinivasan Murali, Alair Dias Junior

It is widely recognized today that there is an alarming rise of lifestyle-induced chronic diseases (e.g., type II diabetes) in our society. Therefore, a strong need exists for cost-effective and non-invasive devices that can measure blood pressure (BP) to ...

IEEE Computer Society Press2015

Ultra-Low Power Design of Wearable Cardiac Monitoring Systems

David Atienza Alonso, Giovanni Ansaloni, Francisco Javier Rincon Vallejos, Ruben Braojos Lopez, Srinivasan Murali, Hossein Mamaghanian, Alair Dias Junior

This paper presents the system-level architecture of novel ultra-low power wireless body sensor nodes (WBSNs) for real-time cardiac monitoring and analysis, and discusses the main design challenges of this new generation of medical devices. In particular, ...

IEEE2014

Ultra-Low Power Design of Wearable Cardiac Monitoring Systems

David Atienza Alonso, Giovanni Ansaloni, Francisco Javier Rincon Vallejos, Ruben Braojos Lopez, Srinivasan Murali, Hossein Mamaghanian, Alair Dias Junior

IEEE/ACM Press2014

Design Exploration of Energy-Performance Trade-offs for Wireless Sensor Networks

David Atienza Alonso, Francisco Javier Rincon Vallejos, Ivan Beretta, Nadia Khaled

Wireless sensor networks (WNSs) are gradually evolving from a promising technology to a well-established reality in a large set of different domains. In order to fulfill the requirements of the specific scenario, a WSN must provide the right tradeoffs betw ...

IEEE2012

A Multi-Lead Ecg Classification Based On Random Projection Features

David Atienza Alonso, Iva Bogdanova Vandergheynst, Francisco Javier Rincon Vallejos

This paper presents a novel method for classification of multi-lead electrocardiogram (ECG) signals. The feature extraction is based on the random projection (RP) concept for dimensionality reduction. Furthermore, the classification is performed by a neuro ...

IEEE Press2012

Model-Based Design for Wireless Body Sensor Network Nodes

David Atienza Alonso, Francisco Javier Rincon Vallejos, Ivan Beretta, Nadia Khaled

Wireless body sensor networks (WBSNs) are a rising technology that allows constant and unobtrusive monitoring of the vital signals of a patient. The configuration of a WBSN node proves to be critical in order to maximize its lifetime, while meeting the pre ...

IEEE Press2012

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

David Atienza Alonso, Francisco Javier Rincon Vallejos, Nadia Khaled

This paper presents an automated real-time atrial fibrillation (AF) detection approach that relies on the observation of two characteristic irregularities of AF episodes in the electrocardiogram (ECG) signal. The results generated after the analysis of the ...

IEEE Press2012

Automatic online delineation of a multi-lead electrocardiogram bio signal

Pierre Vandergheynst, David Atienza Alonso, Francisco Javier Rincon Vallejos, Nadia Khaled, Hossein Mamaghanian

Method for automatic online delineation of an electrocardiogram (ECG) bio signal, said method comprising the detection of said bio signal through several leads followed by the combination of those multiple acquisitions into a single root-mean-squared (RMS) ...

2012

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