Documentos de A. E. Castro-Ospina | REDI

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Filtros aplicados

Objetivos de Desarrollo Sostenible: "ODS 10: Reducción de las desigualdades"

Subtipo de publicación

Conference Object(10)

Publisher

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(5)

Communications in Computer and Information Science(3)

Communications in Nonlinear Science and Numerical Simulation(1)

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS(1)

STSIVA 2012 - 17th Symposium of Image, Signal Processing, and Artificial Vision(1)

Área temáticas

Fisiología humana(7)

Enfermedades(4)

Ciencias de la computación(3)

Física aplicada(2)

Farmacología y terapéutica(1)

Área de conocimiento

Aprendizaje automático(4)

Ciencias de la computación(2)

Enfermedad cardiovascular(2)

Simulación por computadora(2)

Objetivos de Desarrollo Sostenible

ODS 3: Salud y bienestar(11)

ODS 9: Industria, innovación e infraestructura(10)

ODS 4: Educación de calidad(1)

Año de Publicación

Origen

Palabras Claves

classification(2)

Atrial Fibrillation(1)

Attention Deficit Hyperactivity Disorder(1)

Characterization and classification of intracardiac atrial fibrillation signals using the time-singularity multifractal spectrum distribution

Abstract: The analysis of intracardiac signals, or electrograms (EGM), is one of the most promising tools to g

Palabras claves:

Atrial Fibrillation, Multifractal spectrum, Nonlinear signal processing, Time-singularity multifractal spectrum distribution

A. E. Castro-Ospina, Orozco-Duque A., Urda-Benitez R.D.

Analysis of motor imaginary BCI within multi-environment scenarios using a mixture of classifiers

Conference Object

Abstract: Brain-computer interface (BCI) is a system that provides communication between human beings and mach

Palabras claves:

Brain-Computer Interface, ENVIRONMENTS, Mixture of classifiers, Signal processing

A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Marín-Castrillón D.M., Miguel A. Becerra, Moreno-Revelo M.Y., Ortega-Adarme M.

Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study

Conference Object

Abstract: Biometric identification or authentication is a pattern recognition process, which is carried out ac

Palabras claves:

Automatic segmentation, biometric, Electrocardiographic signal, Heart murmur, pattern recognition

A. E. Castro-Ospina, Camilo Zapata-Hernandez, Carolina M. Duque-Mejía, Cristian Mejía-Arboleda, Delgadotrejos E., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Miguel A. Becerra, Paul D. Rosero-Montalvo

Cardiac pulse modeling using a modified van der Pol oscillator and genetic algorithms

Conference Object

Abstract: This paper proposes an approach for modeling cardiac pulses from electrocardiographic signals (ECG).

Palabras claves:

A. E. Castro-Ospina, Antonio Acosta, Arciniegas-Mejía A.F., Diego Hernán Peluffo-Ordóñez, Imbajoa-Ruiz D.E., Lopez-Chamorro F., Paul D. Rosero-Montalvo, Pedro García

Exploration of characterization and classification techniques for movement identification from EMG signals: Preliminary results

Conference Object

Abstract: Today, human-computer interfaces are increasingly more often used and become necessary for human dai

Palabras claves:

classification, EMG signals, Movements selection, Wavelet

A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Laura Daniela Lasso-Arciniegas, Miguel A. Becerra, Salazar-Castro J.A., Viveros-Melo A.

Fingertips segmentation of thermal images and its potential use in hand thermoregulation analysis

Conference Object

Abstract: Thermoregulation refers to the physiological processes that maintain stable the body temperatures. I

Palabras claves:

Fingertip segmentation, NPR measurement, Thermal hand images, Thermorregulation

A. E. Castro-Ospina, Correa-Mira A.M., Diego Hernán Peluffo-Ordóñez, Fandiño-Toro H.A., Israel D. Herrera-Granda

Movement identification in emg signals using machine learning: A comparative study

Conference Object

Abstract: The analysis of electromyographic (EMG) signals enables the development of important technologies fo

Palabras claves:

ANN, EMG signals, Feature Extraction, Knn, Parzen

A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Laura Daniela Lasso-Arciniegas, Miguel A. Becerra, Salazar-Castro J.A., Viveros-Melo A.

Novel heuristic search for ventricular arrhythmia detection using normalized cut clustering

Conference Object

Abstract: Processing of the long-term ECG Holter recordings for accurate arrhythmia detection is a problem tha

Palabras claves:

cardiac arrhythmia, heuristic search, kernel density estimator, Normalized cut clustering

A. E. Castro-Ospina, Castellanos-Dominguez G., Castro-Hoyos C., Diego Hernán Peluffo-Ordóñez

P300 analysis based on time frequency decomposition methods for adhd discrimination in child population

Conference Object

Abstract: According to the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV), attention deficit h

Palabras claves:

Attention Deficit Hyperactivity Disorder, Discrete Wavelet Transform, empirical mode decomposition, Evoked potentials, P300

A. E. Castro-Ospina, Castellanos-Dominguez G., Duque-Munoz L.

Segment clustering for Holter recordings analysis

Conference Object

Abstract: In this work, an efficient non-supervised algorithm for clustering of ECG signals is presented. The

Palabras claves:

A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, López-Londoño D., Rodríguez-Sotelo J.L.