J. Presedo

ORCID: 0000-0001-8066-4760
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About
Contact & Profiles
Research Areas
  • ECG Monitoring and Analysis
  • Heart Rate Variability and Autonomic Control
  • Non-Invasive Vital Sign Monitoring
  • EEG and Brain-Computer Interfaces
  • Context-Aware Activity Recognition Systems
  • Neural Networks and Applications
  • Healthcare Technology and Patient Monitoring
  • Fuzzy Logic and Control Systems
  • Cardiac electrophysiology and arrhythmias
  • IoT and Edge/Fog Computing
  • Obstructive Sleep Apnea Research
  • Chaos control and synchronization
  • Time Series Analysis and Forecasting
  • Hemodynamic Monitoring and Therapy
  • Advanced Chemical Sensor Technologies
  • Cardiovascular and exercise physiology
  • Complex Systems and Time Series Analysis
  • Rough Sets and Fuzzy Logic
  • Fault Detection and Control Systems
  • Wireless Body Area Networks
  • Dialysis and Renal Disease Management
  • Phonocardiography and Auscultation Techniques
  • Central Venous Catheters and Hemodialysis
  • AI-based Problem Solving and Planning
  • Blind Source Separation Techniques

Universidade de Santiago de Compostela
2010-2022

Center for Research in Molecular Medicine and Chronic Diseases
2015-2018

Fundación Centro Tecnológico de la Información y la Comunicación
2012

Universidad de Santiago de Chile
2004-2005

Universidad Nacional de Entre Ríos
1999

Objective: This paper aims to prove that automatic beat classification on ECG signals can be effectively solved with a pure knowledge-based approach, using an appropriate set of abstract features obtained from the interpretation physiological processes underlying signal. Methods: A qualitative morphological and rhythm are for each heartbeat as result abductive ECG. Then, QRS clustering algorithm is applied in order reduce effect possible errors interpretation. Finally, rule-based classifier...

10.1109/jbhi.2016.2631247 article EN IEEE Journal of Biomedical and Health Informatics 2016-11-22

Presents a new TU complex detection and characterization algorithm that consists of two stages; the first is mathematical modeling electrocardiographic segment after QRS complex; second uses classic threshold comparison techniques, over signal its derivatives, to determine significant points each wave. Later, both T U waves are morphologically classified. Amongst principal innovations this inclusion U-wave stage, avoids many problems techniques when there low signal-to-noise ratio or wave...

10.1109/10.844227 article EN IEEE Transactions on Biomedical Engineering 2000-06-01

We present the results of a study that shows viability new technique for diagnosis and monitoring myocardial ischemia is based on utilization heart-rate variability (HRV) information. Ischemia understood as being lack oxygen supply to heart, situation in an extreme irreversible case acute infarction (AMI), reason which early detection treatment great interest. The can be approached via evolution ECG, especially from one parameters extracted it-the ST segment (ECG signal between S T waves)...

10.1109/51.620503 article EN IEEE Engineering in Medicine and Biology Magazine 1997-01-01

The application of stochastic differential equations (SDEs) to the analysis temporal data has attracted increasing attention, due their ability describe complex dynamics with physically interpretable equations. In this paper, we introduce a nonparametric method for estimating drift and diffusion terms SDEs from densely observed discrete time series. use Gaussian processes as priors permits working directly in function-space view thus inference takes place space. To cope computational...

10.1103/physreve.96.022104 article EN Physical review. E 2017-08-02

Sutil+ is an intelligent monitoring system that under development. The aim to endow the with more behaviour and make presentation of information user as flexible possible, in space, time, form. We present two telemonitoring solutions enable access resulting from patients coronary care units, independent location user. concentrate on aspects data acquisition storage and, above all, interaction

10.1109/51.775492 article EN IEEE Engineering in Medicine and Biology Magazine 1999-01-01

Continuous follow-up of heart condition through long-term electrocardiogram monitoring is an invaluable tool for diagnosing some cardiac arrhythmias. In such context, providing tools fast locating alterations normal conduction patterns mandatory and still remains open issue. This work presents a real-time method adaptive clustering QRS complexes from multilead ECG signals that provides the set morphologies appear during recording. The processes sequentially, grouping them into dynamic...

10.1109/jbhi.2014.2361659 article EN IEEE Journal of Biomedical and Health Informatics 2014-10-08

The National Kidney Foundation Guidelines (DOQI) and the European Renal Association (ERA) have set standards for adequacy of hemodialysis treatment. They recommended minimum single pool doses 1.2 (Kt/Vsp DOQI), 1.4 ERA) a "standard" urea removal ratio (URR) 65%. Here, we compare an Artificial Intelligence Method (AIM) based on Neural Network (ANN) usual methods treatment follow-up such as Smye, Daugirdas, standard reduction (URR using post-dialysis concentration) modified URR [Cheng et al....

10.5414/cnp64205 article EN Clinical Nephrology 2005-09-01

The apnea-hypopnea index (AHI) plays a major role in determining whether patient suffers from SAHS, as well evaluating the severity of his/her condition. To obtain this number apneas and hypopneas that has experienced during sleep is calculated, result divided by hours sleep. standard definitions apnea hypopnea require these events have minimum temporal span 10 seconds. Our experience taught us some respiratory airflow limitations lasting less than seconds can produce noticeable effect on...

10.1109/iembs.2010.5626444 article EN 2010-08-01

This paper presents a new screening test for Obstructive Sleep Apnea-Hypopnea (OSAH) Syndrome based on PDA platform capable of recording the patient's electrocardiogram during his/her nightly rest. OSAH patients present alterations in certain bands heart rate variability power spectrum. The more serious disorder afflicting patient it is, greater these are. An algorithm running identifies beats, and calculates RR intervals time series. Then an index that quantifies magnitude spectrum...

10.1109/wisp.2009.5286533 article EN IEEE International Symposium on Intelligent Signal Processing, 2009-08-01

10.1016/0020-7101(91)90066-n article EN International Journal of Bio-Medical Computing 1991-03-01

In this work we present a new method for the delineation of QRS complexes in ECG signals. The main objective is to provide robust that gives acceptable results even under severe noise conditions input signal, as often happens continuous bedside or home monitoring. Our based on relevant point selection using path simplification algorithm, and then clustering strategy combined with qualitative description waveform applied order select most promising signal segments include inside limits....

10.1109/cic.2015.7408623 article EN 2019 Computing in Cardiology Conference (CinC) 2015-09-01

Abstract: The National Kidney Foundation and the European Renal Association recommend routine measurement of hemodialysis (HD) dose have set standards for adequacy treatment. We compare results five methods HD estimation, classifying each result as adequate or inadequate on basis equilibrated (eq) Urea Reduction Ratio (URR eq ) ≥ 65% Kt/V 1.2, to assess accuracy method a diagnostic tool. Data from 113 patients two different dialysis units were analyzed. Equilibrated postdialysis blood urea...

10.1111/j.1525-1594.2005.29027.x article EN Artificial Organs 2005-01-26

Describes a personal alert and information access interface, which enables physicians in Coronary Care Units remote to data base include monitoring of any patient, covers the function real-time alerting important eventualities that are produced relation different patients being monitored. This interface runs on PDA form "palm-top PC", with Windows CE operating system.

10.1109/iembs.2000.900472 article EN 2002-11-11

10.2165/00115677-200210050-00003 article EN Disease Management & Health Outcomes 2002-01-01

One of the biggest problems in hospitals today is increase costs associated with treatment patients, especially case elderly. This trend makes it necessary to adopt new strategies order reduce such and, at same time, maintain high levels care that are provided patients. way by moving patients non-specialised areas or, if possible, his/her home as soon possible. In this paper we present a remote monitoring system capable state patient 24 hours day, 7 days week through analysis parameters...

10.1109/iembs.2001.1019604 article EN 2005-08-25
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