Multichannel Acquisition and Biosignal Multimodal Processing for Moving Patients: Methodologies for Optimal Design of Wearable Cardiac Monitoring Systems

Abstract: The study presented in this thesis demonstrates how new approaches for cardiac monitoring can be useful to improve cardiovascular health risk assessment. Throughout six chapters, a set of methodologies for designing wearable monitoring systems (WMS) is presented, evaluated and discussed. A...

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Autores:
Martínez Tabares, Francisco Javier
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2016
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/58694
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/58694
http://bdigital.unal.edu.co/55544/
Palabra clave:
0 Generalidades / Computer science, information and general works
5 Ciencias naturales y matemáticas / Science
6 Tecnología (ciencias aplicadas) / Technology
61 Ciencias médicas; Medicina / Medicine and health
62 Ingeniería y operaciones afines / Engineering
Sistemas Vestibles de Monitoreo
Procesamiento de señales
Optimización de diseño
Sensibilidad al contexto
Aceleración
Bioseñal
Electrocardiograma
ElectroDoctor
Electrocardiografía
Arritmia
Fibrilación auricular
Contracción ventricular prematura
Transformada wavelet discreta
Superhidrofóbico
KNN
Máquinas de soporte vectorial
Optimización multiobjetivo
Wearable Monitoring Systems WMS
Signal processing
Design optimization
Context aware
Acceleration
Biosignal
Electrocardiogram
Electrodoctor
Electrocardiography
Arrhythmia
Atrial fibrillation
Premature ventricular contraction
Discrete wavelet transform
Superhidrophobic
SVM
Multi-objective optimization
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
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oai_identifier_str oai:repositorio.unal.edu.co:unal/58694
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network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Multichannel Acquisition and Biosignal Multimodal Processing for Moving Patients: Methodologies for Optimal Design of Wearable Cardiac Monitoring Systems
title Multichannel Acquisition and Biosignal Multimodal Processing for Moving Patients: Methodologies for Optimal Design of Wearable Cardiac Monitoring Systems
spellingShingle Multichannel Acquisition and Biosignal Multimodal Processing for Moving Patients: Methodologies for Optimal Design of Wearable Cardiac Monitoring Systems
0 Generalidades / Computer science, information and general works
5 Ciencias naturales y matemáticas / Science
6 Tecnología (ciencias aplicadas) / Technology
61 Ciencias médicas; Medicina / Medicine and health
62 Ingeniería y operaciones afines / Engineering
Sistemas Vestibles de Monitoreo
Procesamiento de señales
Optimización de diseño
Sensibilidad al contexto
Aceleración
Bioseñal
Electrocardiograma
ElectroDoctor
Electrocardiografía
Arritmia
Fibrilación auricular
Contracción ventricular prematura
Transformada wavelet discreta
Superhidrofóbico
KNN
Máquinas de soporte vectorial
Optimización multiobjetivo
Wearable Monitoring Systems WMS
Signal processing
Design optimization
Context aware
Acceleration
Biosignal
Electrocardiogram
Electrodoctor
Electrocardiography
Arrhythmia
Atrial fibrillation
Premature ventricular contraction
Discrete wavelet transform
Superhidrophobic
SVM
Multi-objective optimization
title_short Multichannel Acquisition and Biosignal Multimodal Processing for Moving Patients: Methodologies for Optimal Design of Wearable Cardiac Monitoring Systems
title_full Multichannel Acquisition and Biosignal Multimodal Processing for Moving Patients: Methodologies for Optimal Design of Wearable Cardiac Monitoring Systems
title_fullStr Multichannel Acquisition and Biosignal Multimodal Processing for Moving Patients: Methodologies for Optimal Design of Wearable Cardiac Monitoring Systems
title_full_unstemmed Multichannel Acquisition and Biosignal Multimodal Processing for Moving Patients: Methodologies for Optimal Design of Wearable Cardiac Monitoring Systems
title_sort Multichannel Acquisition and Biosignal Multimodal Processing for Moving Patients: Methodologies for Optimal Design of Wearable Cardiac Monitoring Systems
dc.creator.fl_str_mv Martínez Tabares, Francisco Javier
dc.contributor.advisor.spa.fl_str_mv Castellanos Domínguez, César Germán (Thesis advisor)
dc.contributor.author.spa.fl_str_mv Martínez Tabares, Francisco Javier
dc.subject.ddc.spa.fl_str_mv 0 Generalidades / Computer science, information and general works
5 Ciencias naturales y matemáticas / Science
6 Tecnología (ciencias aplicadas) / Technology
61 Ciencias médicas; Medicina / Medicine and health
62 Ingeniería y operaciones afines / Engineering
topic 0 Generalidades / Computer science, information and general works
5 Ciencias naturales y matemáticas / Science
6 Tecnología (ciencias aplicadas) / Technology
61 Ciencias médicas; Medicina / Medicine and health
62 Ingeniería y operaciones afines / Engineering
Sistemas Vestibles de Monitoreo
Procesamiento de señales
Optimización de diseño
Sensibilidad al contexto
Aceleración
Bioseñal
Electrocardiograma
ElectroDoctor
Electrocardiografía
Arritmia
Fibrilación auricular
Contracción ventricular prematura
Transformada wavelet discreta
Superhidrofóbico
KNN
Máquinas de soporte vectorial
Optimización multiobjetivo
Wearable Monitoring Systems WMS
Signal processing
Design optimization
Context aware
Acceleration
Biosignal
Electrocardiogram
Electrodoctor
Electrocardiography
Arrhythmia
Atrial fibrillation
Premature ventricular contraction
Discrete wavelet transform
Superhidrophobic
SVM
Multi-objective optimization
dc.subject.proposal.spa.fl_str_mv Sistemas Vestibles de Monitoreo
Procesamiento de señales
Optimización de diseño
Sensibilidad al contexto
Aceleración
Bioseñal
Electrocardiograma
ElectroDoctor
Electrocardiografía
Arritmia
Fibrilación auricular
Contracción ventricular prematura
Transformada wavelet discreta
Superhidrofóbico
KNN
Máquinas de soporte vectorial
Optimización multiobjetivo
Wearable Monitoring Systems WMS
Signal processing
Design optimization
Context aware
Acceleration
Biosignal
Electrocardiogram
Electrodoctor
Electrocardiography
Arrhythmia
Atrial fibrillation
Premature ventricular contraction
Discrete wavelet transform
Superhidrophobic
SVM
Multi-objective optimization
description Abstract: The study presented in this thesis demonstrates how new approaches for cardiac monitoring can be useful to improve cardiovascular health risk assessment. Throughout six chapters, a set of methodologies for designing wearable monitoring systems (WMS) is presented, evaluated and discussed. Alternative solutions based on new hardware approach, signal processing and optimisation are proposed to the main challenges of noise disturbances, signals characterization and multimodal processing, originated from ambulatory acquisition in daily life scenarios. Chapter 1 provides an introduction of the thesis. It begins with the research problem statement, followed by the justification, the hypothesis to be proved by the results and the objectives of the research. Chapter 2 is a review of the state off the art, organized into three parts: acquisition, signal processing and optimisation of designs. Chapter 3, contributions regarding the acquisition hardware are presented, including new models and techniques to manage aspects of hygiene, electrode-skin contact, and context influence. Also, prototypes using the proposed models are developed and evaluated. After having developed the basic tools for ambulatory data acquisition, Chapter 4, is focused on three novel methods for the processing of ECG signals. Chapter 5, describes a method to optimise the design of these systems for the specific application of cardiac monitoring. Finally, Chapter 6 is a discussion about the research findings regarding the methods used to develop WSM and observations for the validation of the hypothesis.
publishDate 2016
dc.date.issued.spa.fl_str_mv 2016
dc.date.accessioned.spa.fl_str_mv 2019-07-02T14:39:06Z
dc.date.available.spa.fl_str_mv 2019-07-02T14:39:06Z
dc.type.spa.fl_str_mv Trabajo de grado - Doctorado
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/doctoralThesis
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_db06
dc.type.content.spa.fl_str_mv Text
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dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/58694
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/55544/
url https://repositorio.unal.edu.co/handle/unal/58694
http://bdigital.unal.edu.co/55544/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Sede Manizales Facultad de Ingeniería y Arquitectura Departamento de Ingeniería Eléctrica, Electrónica y Computación
Departamento de Ingeniería Eléctrica, Electrónica y Computación
dc.relation.references.spa.fl_str_mv Martínez Tabares, Francisco Javier (2016) Multichannel Acquisition and Biosignal Multimodal Processing for Moving Patients: Methodologies for Optimal Design of Wearable Cardiac Monitoring Systems. Doctorado thesis, Universidad Nacional de Colombia - Sede Manizales.
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
institution Universidad Nacional de Colombia
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Castellanos Domínguez, César Germán (Thesis advisor)c792a029-43aa-4eb1-ac01-0b8ac24a537e-1Martínez Tabares, Francisco Javier4abaef40-6ff2-4ba2-9af2-e97cde05bb773002019-07-02T14:39:06Z2019-07-02T14:39:06Z2016https://repositorio.unal.edu.co/handle/unal/58694http://bdigital.unal.edu.co/55544/Abstract: The study presented in this thesis demonstrates how new approaches for cardiac monitoring can be useful to improve cardiovascular health risk assessment. Throughout six chapters, a set of methodologies for designing wearable monitoring systems (WMS) is presented, evaluated and discussed. Alternative solutions based on new hardware approach, signal processing and optimisation are proposed to the main challenges of noise disturbances, signals characterization and multimodal processing, originated from ambulatory acquisition in daily life scenarios. Chapter 1 provides an introduction of the thesis. It begins with the research problem statement, followed by the justification, the hypothesis to be proved by the results and the objectives of the research. Chapter 2 is a review of the state off the art, organized into three parts: acquisition, signal processing and optimisation of designs. Chapter 3, contributions regarding the acquisition hardware are presented, including new models and techniques to manage aspects of hygiene, electrode-skin contact, and context influence. Also, prototypes using the proposed models are developed and evaluated. After having developed the basic tools for ambulatory data acquisition, Chapter 4, is focused on three novel methods for the processing of ECG signals. Chapter 5, describes a method to optimise the design of these systems for the specific application of cardiac monitoring. Finally, Chapter 6 is a discussion about the research findings regarding the methods used to develop WSM and observations for the validation of the hypothesis.Resumen: En esta tesis se demuestra como un monitoreo cardiaco optimizado puede mejorar la capacidad diagnostica de cardio-patologias. A lo largo de seis capítulos se presentan y discuten un conjunto de metodologías para diseño de sistemas vestibles de monitoreo cardiaco (WMS). Se plantean alternativas de solución a los principales problemas de perturbaciones, caracterizacion y procesamiento multimodal de bioseñales, originados al llevar la atención medica a sistemas moviles. El Capítulo 1 es una introducción a la tesis. Comienza con el planteamiento del problema, seguido por la justificación, la hipótesis que será probada y los objetivos de la investigación. El Capitulo 2 es una revisión del estado del arte, organizado en tres partes: adquisición, procesamiento de señales y optimización de diseños. En el Capítulo 3, se presentan contribuciones relacionadas con el hardware de adquisición, incluyendo nuevos modelos y técnicas para manejar aspectos de higiene, contacto electrodo-piel, e influencia del contexto. Tambien se desarrollan prototipos usando las metodologias propuestas que seguidamente son evaluados. Una vez desarrolladas las herramientas basicas para adquisición ambulatoria, el Capítulo 4, se enfoca en tres nuevos metodos para el procesamiento de señales ECG. El Capítulo 5, describe un metodo para optimizar el diseño de sistemas vestibles para la aplicacion específica de monitoreo cardíaco. Finalmente, el Capítulo 6 es una discusion sobre los hallazgos de la investigacion con relacion a los metodos usados para desarrollar sistemas vestibles y las observaciones que conducen a la validación de la hipótesis.Doctoradoapplication/pdfspaUniversidad Nacional de Colombia Sede Manizales Facultad de Ingeniería y Arquitectura Departamento de Ingeniería Eléctrica, Electrónica y ComputaciónDepartamento de Ingeniería Eléctrica, Electrónica y ComputaciónMartínez Tabares, Francisco Javier (2016) Multichannel Acquisition and Biosignal Multimodal Processing for Moving Patients: Methodologies for Optimal Design of Wearable Cardiac Monitoring Systems. Doctorado thesis, Universidad Nacional de Colombia - Sede Manizales.0 Generalidades / Computer science, information and general works5 Ciencias naturales y matemáticas / Science6 Tecnología (ciencias aplicadas) / Technology61 Ciencias médicas; Medicina / Medicine and health62 Ingeniería y operaciones afines / EngineeringSistemas Vestibles de MonitoreoProcesamiento de señalesOptimización de diseñoSensibilidad al contextoAceleraciónBioseñalElectrocardiogramaElectroDoctorElectrocardiografíaArritmiaFibrilación auricularContracción ventricular prematuraTransformada wavelet discretaSuperhidrofóbicoKNNMáquinas de soporte vectorialOptimización multiobjetivoWearable Monitoring Systems WMSSignal processingDesign optimizationContext awareAccelerationBiosignalElectrocardiogramElectrodoctorElectrocardiographyArrhythmiaAtrial fibrillationPremature ventricular contractionDiscrete wavelet transformSuperhidrophobicSVMMulti-objective optimizationMultichannel Acquisition and Biosignal Multimodal Processing for Moving Patients: Methodologies for Optimal Design of Wearable Cardiac Monitoring SystemsTrabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06Texthttp://purl.org/redcol/resource_type/TDORIGINAL75097333.2016.pdfapplication/pdf4073251https://repositorio.unal.edu.co/bitstream/unal/58694/1/75097333.2016.pdf116ae7152b95bbf6a8dec3c18fafe909MD51THUMBNAIL75097333.2016.pdf.jpg75097333.2016.pdf.jpgGenerated Thumbnailimage/jpeg4673https://repositorio.unal.edu.co/bitstream/unal/58694/2/75097333.2016.pdf.jpgda6b3bbbadb5408671fd5331f09dd318MD52unal/58694oai:repositorio.unal.edu.co:unal/586942023-03-29 23:08:18.382Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co