Francisco Javier Rincon Vallejos

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Related publications (28)

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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

Touch-Based System for Beat-to-Beat Impedance Cardiogram Acquisition and Hemodynamic Parameters Estimation

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

Among all cardiovascular diseases, congestive heart failure (CHF) has a very high rate of hospitalization and mortality. In order to prevent hospitalization, there is a strong need to identify patients at risk of a CHF event by estimating a set of relevant ...

IEEE/ACM Press2016

Performance of the new SmartCardia wireless, wearable oximeter: a comparison with arterial SaO2 in healthy volunteers

Srinivasan Murali, Francisco Javier Rincon Vallejos

Background Our goal was to evaluate the performance of a new wearable arm located pulse oximeter. Methods Twelve volunteers were monitored with three pulse oximeters and underwent desaturation to 70% SaO(2). We compared the accuracy of SpO(2) reading from ...

BMC2022

Development and Evaluation of Multi-Lead Wavelet-Based ECG Delineation Algorithms for Embedded Wireless Sensor Nodes

David Atienza Alonso, Francisco Javier Rincon Vallejos, Nadia Khaled

This work is devoted to the evaluation of multilead digital wavelet transform (DWT)-based electrocardiogram (ECG) wave delineation algorithms, which were optimized and ported to a commercial wearable sensor platform. More specifically, we investigate the u ...

Institute of Electrical and Electronics Engineers2011

Energy-Aware Embedded Classifier Design for Real-Time Emotion Analysis

David Atienza Alonso, Srinivasan Murali, Francisco Javier Rincon Vallejos

Detection and classification of human emotions from multiple bio-signals has a wide variety of applications. Though electronic devices are available in the market today that acquire multiple body signals, the classification of human emotions in real-time, ...

IEEE Press2015

Method for detecting abnormalities in an electrocardiogram

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

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

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

A modular low-complexity ECG delineation algorithm for real-time embedded systems

David Atienza Alonso, Francisco Javier Rincon Vallejos

This work presents a new modular and lowcomplexity algorithm for the delineation of the different ECG waves (QRS, P and T peaks, onsets and end). Involving a reduced number of operations per second and having a small memory footprint, this algorithm is int ...

2018