Jose LUIS Rodriguez-Sotelo

Jose LUIS Rodriguez-Sotelo
Universidad Autónoma de Manizales · Departamento de Ingeniería Electrónica y Automatización

Doctor of Philosophy

About

40
Publications
49,174
Reads
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255
Citations
Citations since 2017
9 Research Items
173 Citations
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201720182019202020212022202305101520253035
201720182019202020212022202305101520253035
201720182019202020212022202305101520253035
Additional affiliations
January 2005 - April 2016
Universidad Autónoma de Manizales
Position
  • Managing Director

Publications

Publications (40)
Article
Full-text available
The harvesting is one of the most expensive stages during Colombian coffee production since the selectivity of ripe fruits (from the trees) is carried manually nowadays. However, the scarcity of workforce has become a new challenge for developing technologies that can be used in situations that traditional mechanized harvesters cannot be implemente...
Chapter
In this document the design of an emotion recognition system based on the EEG signals analysis based on auditory stimulation is proposed. Here, an auditory emotion recognition protocol using the International Affective Digitalized Sounds (IADS) second edition database is introduced, in which the database is divided into three groups: Negative, Posi...
Chapter
Brain state control has been well established in the area of Brain-computer interfaces over the last decades in which the active applications allow controlling external devices consciously. The purpose of this study was to develop a real-time graphical sound representation system based on an interaction design that allows navigating through the mot...
Article
Full-text available
Normalized-cut clustering (NCC) is a benchmark graph-based approach for unsupervised data analysis. Since its traditional formulation is a quadratic form subject to orthogonality conditions, it is often solved within an eigenvector-based framework. Nonetheless, in some cases the calculation of eigenvectors is prohibitive or unfeasible due to the in...
Conference Paper
Full-text available
Dynamic or time-varying data analysis is of great interest in emerging and challenging research on automation and machine learning topics. In particular, motion segmentation is a key stage in the design of dynamic data analysis systems. Despite several studies have addressed this issue, there still does not exist a final solution highly compatible...
Article
Full-text available
This work proposes two novel alternatives for dealing with the highly important issue of the clustering performance estimation. One of the measures is the cluster coherence aimed to quantifying the normalized ratio of cuts within a graph-partitioning framework, and therefore it uses a graph-driven approach to explore the nature of data regarding th...
Conference Paper
Full-text available
Sleep stage classification is a highly addressed issue in polysomnography; It is considered a tedious and time-consuming task if done manually by the specialist; therefore, from the engineering point of view, several methods have been proposed to perform an automatic sleep stage classification. In this paper an unsupervised approach to automatic sl...
Conference Paper
Full-text available
In this work, an efficient non-supervised algorithm for clustering of ECG signals is presented. The method is assessed over a set of records from MIT/BIH arrhythmia database with different types of heartbeats, including normal (N) heartbeats, as well as the arrhythmia heartbeats recommended by the AAMI, usually found in Holter recordings: ventricul...
Article
Full-text available
An arrhythmia is a pathology that consists on altering the heartbeat. Although, the 12-lead electrocardiogram allows evaluation of the electrical behavior from heart to determine certain pathologies, there are some arrhythmias that are difficult to detect with this type of electrocardiography. In this sense, it is necessary the use of the Holter mo...
Conference Paper
Full-text available
This work presents an approach for modelling cardiac pulse from electrocardiographic signals (ECG). We explore the use of the Bonhoeffer-van der Pol (BVP) model-being a generalized version of the van der Pol oscillator-which, under proper parameters, is able to describe action potentials, and it can be then adapted to modelling normal cardiac pulse...
Conference Paper
Full-text available
In Colombia as in many other developing countries, the education of doctors in engineering presents different problems that become opportunities for new doctoral program initiatives. First, the number of existing programs and the annual graduation rate is well below other countries of Latin America and much further from developed countries like the...
Conference Paper
Full-text available
La infraestructura de conectividad de alta velocidad que proporciona la Red Nacional de Tecnología Avanzada de Colombia, posibilita el desarrollo de programas de formación de alto nivel tanto para las actividades propias del desarrollo de cursos como para aquellas asociadas con el desarrollo de la investigación. Este artículo presenta la experienci...
Article
In this paper, we address the problem of quantifying the commonly observed disorganization of the stereotyped wave form of the ERP associated with the P300 component in patients with Alzheimer's disease. To that extent, we propose two new measures of complexity which relate the spectral content of the signal with its temporal waveform: the spectral...
Article
Full-text available
p class="Normal1">En este artículo se propone una metodología para soporte al diagnóstico en análisis de lesión de rodilla, teniendo en cuenta que dichas lesiones son comunes y se producen por diferentes causas, y donde su diagnóstico y tratamiento se realiza por medio de valoraciones por parte de un profesional en el área, que dependiendo de su cr...
Conference Paper
Full-text available
Cardiac arrhythmia analysis on Holter recordings is an important issue in clinical settings, however such issue implicitly involves attending other problems related to the large amount of unlabelled data which means a high computational cost. In this work an unsupervised methodology based in a segment framework is presented, which consists of divid...
Article
Full-text available
Sleep is a growing area of research interest in medicine and neuroscience. Actually, one major concern is to find a correlation between several physiologic variables and sleep stages. There is a scientific agreement on the characteristics of the five stages of human sleep, based on EEG analysis. Nevertheless, manual stage classification is still th...
Conference Paper
Full-text available
There is a large percentage of spinal cord injury in the world, where the 44% of these cases ends in paraplegia. Today's technological tools, such as wheelchairs, restrict the movement generating patient's isolation. This paper shows the design and simulation of an exoskeleton to assist the gait on patients with flaccid paraplegia. The mechatronic...
Conference Paper
Full-text available
Heartbeat characterization is an important issue in cardiac assistance diagnosis systems. In particular, wide sets of features are commonly used in long term Holter ECG signals. Then, if such a feature space does not represent properly the arrhythmias to be grouped, classification or clustering process may fail. In this work a suitable feature set...
Conference Paper
Full-text available
Cardiac arrhythmia analysis on Holter recordings is an important issue in clinical settings, however such issue implicitly involves attending other problems related to the large amount of unlabelled data which means a high computational cost. In this work an unsupervised methodology based in a segment framework is presented, which consists of divid...
Article
Full-text available
The computer-assisted analysis of biomedical records has become an essential tool in clinical settings. However, current devices provide a growing amount of data that often exceeds the processing capacity of normal computers. As this amount of information rises, new demands for more efficient data extracting methods appear. This paper addresses the...
Conference Paper
Full-text available
This work presents a comparative study of different affinity measures applied in spectral clustering algorithms commonly used and recommended by literature. Spectral algorithms for clustering are known to be useful in different areas of science and engineering such as image segmentation, load balance for intensive computing, circuits design, among...
Conference Paper
Full-text available
A method that improves the feature selection stage for non-supervised analysis of Holter ECG signals is presented. The method corresponds to WPCA approach developed mainly in two stages. First, the weighting of the feature set through a weight vector based on M-inner product as distance measure and a quadratic optimization function. The second one...
Conference Paper
Full-text available
Most applications in the analysis of thermal images can detect changes in patterns. Thus, thermal patterns provide sufficient information of the structure for a particular device, giving the opportunity to alert and perform some preventive action in the process.
Article
Full-text available
In this work, a comparative study of feature selection methods for supervised and unsupervised inference obtained from classical PCA is presented. We deduce an expression for the cost function of PCA based on the mean square error of data and its orthonormal projection, and then this concept is extended to obtain an expression for general WPCA. Add...
Conference Paper
Full-text available
Resumen Se propone una metodología para el análisis no supervisado de patrones descrip-tivos de latidos en señales ECG de registros Holter, con el fin de clasificar arritmias y mostrar la aplicabilidad y versatilidad de las técnicas de análisis no supervisado. El sistema propuesto incluye etapas de caracterización, selección de características, cri...
Conference Paper
Full-text available
In this work, a nonsupervised algorithm for feature selection and a non-parametric density-based clustering algorithm are presented, whose density estimation is performed by Parzen's window approach; this algorithm solves the problem that individual components of the mixture should be Gaussian. The method is applied to a set of recordings from MIT/...
Conference Paper
Full-text available
Resumen— En este trabajo se presenta una prueba piloto de una nueva técnica de caracterización de señales ECG empleando un modelo del pulso cardíaco y técnicas de análisis de sistemas no lineales. Las señales empleadas en este estudio son extraídas de la base de datos de arritmias del MIT (MIT-BIH). La caracterización se hace a partir de la sintoni...
Conference Paper
Full-text available
En este trabajo se desarrolla una metodología para la clasificación de arritmias ventriculares de tipo extrasístole ventricular y bloqueo de rama izquierda y derecha con respecto a latidos normales de la base de datos de arritmias MIT-BIH, empleando características morfológicas del complejo QRS y clasificación no supervisada de tipo particional. El...
Conference Paper
Full-text available
The problem of detecting clinical events related to cardiac arrhythmias in long term electrocardiograms is a difficult one due to the large amount of irrelevant information that hides such events. This problem has been addressed in the literature by means of clustering or classification algorithms that create data partitions according to a cost fun...
Conference Paper
Full-text available
This work describes a method to classify cardiac arrhythmias in Holter records using unsupervised classification. Unsupervised analysis is preferred in this work because detecting a specific heartbeat in Holter records requires analyzing every heartbeat taking into account several factors such as: variability, signal length, EMG noise, artifacts an...
Article
ECG heartbeat type detection and classification are regarded as important procedures since they can significantly help to provide an accurate automated diagnosis. This paper addresses the specific problem of detecting atrial premature beats, that had been demonstrated to be a marker for stroke risk or cardiac arrhythmias. The proposed methodology c...
Conference Paper
Full-text available
En este trabajo se desarrolla una metodología para la reconstrucción y caracterización de los complejos QRS empleando el modelo paramétrico de Hermite. Los complejos son extraídos de la base de datos MIT-BIH. La reconstrucción se realiza empleando el valoróptimovalor´valoróptimo del parámetro de escala de las bases de Hermite obtenido mediante la m...
Conference Paper
Full-text available
RESUMEN Se presenta un método para clasificar arritmias ventriculares de tipo bloqueo de rama izquierda (L) y derecha (R) con respecto a latidos normales (N) de la base de datos de arritmias de la MIT-BIH utilizando clasificación no supervisada debido principalmente a la variabilidad morfológica entre registros. Se desarrolla una etapa de extracció...
Article
Full-text available
Heartbeat clustering is convenient in Holter record analysis and interpretation for data mining. Nevertheless, this clustering has to address several problems due to factors such as long signal length (high computational burden), noise and artifacts (patient movements, baseline wander, electrodeskin contact variability, powerline interference), and...
Conference Paper
Full-text available
Se determina el valor experimentaí optimo de la tasa de compresión para se nales fonocardiográficas (PCG), tal que no presenté ındice de distorsión en tareas de diagnóstico automático de patologías. Para la compresión , se usa la codi-ficación sub-banda de la norma MPEG1-Capa 3 (mp3). Las métricas para determinar la distorsión entre las característ...
Conference Paper
Full-text available
The follow-up of some cardiac diseases may be achieved by ECG-holter record analysis. A heartbeat clustering method can be used to reduce the usually high computational cost of such Holter analysis. This study describes a method aimed at cardiac arrhythmia recognition based on this approach, by means of unsupervised inspection of morphologically si...
Conference Paper
Full-text available
Clustering is advisable technique for analysis and interpretation of long-term ECG Holter records. As a non-supervised method, several challenges are posed due to factors such as signal length (very long duration), noise presence, dynamic behavior and morphology variability (different patient physiology and/or pathology). This work describes an imp...
Article
Full-text available
En el Instituto de Investigación Reynolds (Co-lombia), se quiso hacer un estudio del com-portamiento y descripción del corazón de la ba-llena en forma no invasiva, debido a la imposi-bilidad de acceder a ella en condiciones nor-males. PATRONES DE CORRELACIÓN ESTADÍSTICA ENTRE SEÑALES ELECTROCARDIOGRÁFICAS Y FONOCARDIOGRÁFICAS Resumen La investigaci...

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Projects

Projects (2)
Project
Optimization of operations and processes of physical distribution of products through land transport in existing road networks
Project
To explore the benefit of using non-supervised approaches for data representation and classification on the automatic identification of cardiac arrhythmias in ECG Holter recordings.