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Francisco Javier Rincon Vallejos

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Related publications (28)

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Methods for reliable estimation of pulse transit time and blood pressure variations using smartphone sensors

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

Hypertension is known to affect around one third of adults globally and early diagnosis is essential to reduce the effects of this affliction. Today’s Blood Pressure (BP) monitoring cuffs are obtrusive and in- convenient for performing regular measurements ...

Elsevier Science Bv2016

Ultra-Low Power Estimation of Heart Rate Under Physical Activity Using a Wearable Photoplethysmographic System

David Atienza Alonso, Srinivasan Murali, Francisco Javier Rincon Vallejos, Elisabetta De Giovanni

In the last years, the need for enhancing health and preventing problems with remote monitoring is increasing. A non-invasive low-cost technique for processing bio-signals and monitoring vital parameters, at rest and during physical activity, is the use of ...

IEEE Press2016

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 multilead 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

A Wearable Device For Physical and Emotional Health Monitoring

David Atienza Alonso, Srinivasan Murali, Francisco Javier Rincon Vallejos

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

Cardiac Ambulatory Monitoring: New Wireless Device Validated Against Conventional Holter Monitoring in a Case Series

Srinivasan Murali, Francisco Javier Rincon Vallejos

Background: Cardiac arrhythmias are very common but underdiagnosed due to their transient and asymptomatic nature. An optimization of arrhythmia detection would permit to better treat patients and could substantially reduce morbidity and mortality. The Sma ...

FRONTIERS MEDIA SA2020

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

Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors

David Atienza Alonso, Srinivasan Murali, Amir Aminifar, Francisco Javier Rincon Vallejos, Grégoire Casimir Joseph Surrel

Obstructive Sleep Apnea (OSA) is one of the main under-diagnosed sleep disorder. It is an aggravating factor for several serious cardiovascular diseases, including stroke. There is, however, a lack of medical devices for long-term ambulatory monitoring of ...

2018

Real-Time Probabilistic Heart Beat Classification and Correction for Embedded Systems

David Atienza Alonso, Srinivasan Murali, Francisco Javier Rincon Vallejos, Grégoire Casimir Joseph Surrel

With the emergence of wearable and non-intrusive med- ical devices, one major challenge is the real-time analysis of the acquired signals in real-life and ambulatory con- ditions. This paper presents a lightweight algorithm for on-line heart beat classific ...

2015

Ultra-Low Power Design of Wearable Cardiac Monitoring Systems

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

A Multi-Lead Ecg Classification Based On Random Projection Features

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

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

Multi-Processor Operating System Emulation Framework with Thermal Feedback for Systems-on-Chip

Giovanni De Micheli, David Atienza Alonso, Luca Benini, Francisco Javier Rincon Vallejos, Pablo Garcia del Valle

Multi-Processor System-On-Chip (MPSoC) can provide the performance levels required by high-end embedded applications. However, they do so at the price of an increasing power density, which may lead to thermal runaway if coupled with low-cost packaging and ...

2007

Embedded Real-Time ECG Delineation Methods: a Comparative Evaluation

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

Wireless sensor nodes (WSNs) have recently evolved to include a fair amount of computational power, so that advanced signal processing algorithms can now be embedded even in this extremely low-power platforms. An increasingly successful field of applicatio ...

IEEE Press2012

Implementation of an automated ECG-based diagnosis for a wireless body sensor platform

Giovanni De Micheli, David Atienza Alonso, Francisco Javier Rincon Vallejos, Nadia Khaled

Wireless Body Sensor Networks (WBSN) are poised to become a key enabling technology of personal systems for pervasive healthcare. Recent results have however shown that the conventional approach to their design, which consists in continuous wireless stream ...

Springer2009

Ultra-Low Power Design of Wearable Cardiac Monitoring Systems

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

IEEE/ACM Press2014

OS-Based Sensor Node Platform and Energy Estimation Model for Health-Care Wireless Sensor Networks

Giovanni De Micheli, David Atienza Alonso, Francisco Javier Rincon Vallejos

Accurate power and performance figures are critical to assess the effective design of possible sensor node architectures in Body Area Networks (BANs) since they operate on limited energy storage. Therefore, accurate power models and simulation tools that c ...

2008

A Simulation Model for Wireless Sensor Networks Based on TOSSIM

Giovanni De Micheli, David Atienza Alonso, Francisco Javier Rincon Vallejos

Wireless Sensor Networks (WSNs) are composed of a large number of very small devices used for biomedical or environmental monitoring applications. These devices measure various natural processes at different locations, and cooperate in order to aggregate t ...

IMSE2007

Multi-Lead Wavelet-Based ECG Delineation on a Wearable Embedded Sensor Platform

David Atienza Alonso, Francisco Javier Rincon Vallejos, Nadia Khaled

This work is dedicated to the sensible optimization and porting of a multi-lead (ML) wavelet-transform (WT)-based electrocardiogram (ECG) wave delineator to a state-of-the-art commercial wearable embedded sensor platform with limited processing and storage ...

2009

Method and Device for Non-Invasive Blood Pressure Measurement

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

A system for measuring blood pressure of a user that comprises an ElectroCardioGram (ECG) circuit with at least two ECG electrodes configured to obtain an electrical activity of a heart of the user by measuring the electrical signals detected at the at lea ...

2017

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

Estimation of Blood Pressure and Pulse Transit Time Using Your Smartphone

David Atienza Alonso, Srinivasan Murali, Francisco Javier Rincon Vallejos, 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