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...
- 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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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 |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/TD |
format |
http://purl.org/coar/resource_type/c_db06 |
status_str |
acceptedVersion |
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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Repositorio Institucional Universidad Nacional de Colombia |
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repositorio_nal@unal.edu.co |
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1814089462816178176 |
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 |