A5012108152- Heart Rate Variability and Autonomic Control
- Non-Invasive Vital Sign Monitoring
- ECG Monitoring and Analysis
- EEG and Brain-Computer Interfaces
- Context-Aware Activity Recognition Systems
- E-Learning and Knowledge Management
- Human Pose and Action Recognition
- Advanced Chemical Sensor Technologies
- Cardiovascular and exercise physiology
- Open Education and E-Learning
- Cardiac electrophysiology and arrhythmias
- Video Surveillance and Tracking Methods
- Mental Health Research Topics
- Anomaly Detection Techniques and Applications
- Blind Source Separation Techniques
- Neural Networks and Applications
- Educational Technology in Learning
- Obstructive Sleep Apnea Research
- Mobile Agent-Based Network Management
- Chaos control and synchronization
- Indoor and Outdoor Localization Technologies
- Fault Detection and Control Systems
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Comparative constitutional jurisprudence studies
- Complex Systems and Time Series Analysis
Universidade de Vigo
2010-2022
Informa (Italy)
2010
Universidade de Santiago de Compostela
1996-2009
Universidad de Santiago de Chile
2004
We have compared three of the best QRS detection algorithms, regarding their results, to check performance and elucidate which get better accuracy. In literature these algorithms were published in a theoretical way, without offering code, so it is difficult its real behaviour over different collections ECG records. This work brings community our source code each algorithm results validation public database. addition, this software was developed as framework order permit inclusion new also...
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...
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)...
In this article the authors describe application of a new artificial neural network model aimed at morphological classification heartbeats detected on multichannel ECG signal. They emphasize special characteristics algorithm as an adaptive classifier with capacity to dynamically self-organize its response input also present evaluation results based traces from MIT-BIH arrhythmia database.
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
Objectives– Multiple sclerosis (MS) frequently causes disturbances of autonomic functions. Cardiovascular dysautonomia has been studied by classic tests and, recently, heart rate variability analysis in some isolated periods. authors recommended performing with a 24 h ECG recording to increase its sensitivity. Material and methods– We analyzed the time frequency domains 34 MS patients age sex-matched healthy control subjects, order evaluate effects on sympathetic parasympathetic...
Background: Chronic obstructive pulmonary disease (COPD) patients present functional and structural changes of the respiratory system that have a profound influence on cardiac autonomic dysfunction. Objetive: To analyse heart rate variability in COPD
<b><i>Background:</i></b> Nowadays, the assessment of psychopathy relies on semistructured interviews plus file reviews. In order to improve predictive validity at individual level, tools that are not based rating signs and symptoms in great need. <b><i>Sampling Methods:</i></b> The present study was conducted a representative sample 204 Spanish sentenced inmates. These inmates have served least 6 months their sentence Pereiro de Aguiar...
Background: Premature ventricular contractions (PVCs) are cardiac abnormalities that may occur in subjects with/without cardiovascular disorder. Detection is usually performed from electrocardiograms (ECGs); heart activity for a long period of time m