Estudio de la viabilidad de la estimación del grado de adherencia a estilos de vida saludables a partir de medidas cardíacas oportunistas

In recent times, developed countries have experienced an increase of several diseases related to non-healthy lifestyles. Nevertheless, as an individual, it is difficult to know the degree of adherence to a healthy lifestyle (EVS) regardless the personal benefits of following it are multiple. Therefo...

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Autor: Ferrer Mileo, Víctor
Tipo de recurso: tesis doctoral
Fecha de publicación:2019
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:español
OAI Identifier:oai:upcommons.upc.edu:2117/170437
Acceso en línea:https://hdl.handle.net/2117/170437
https://dx.doi.org/10.5821/dissertation-2117-170437
Access Level:acceso abierto
Palabra clave:Àrees temàtiques de la UPC::Enginyeria electrònica
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dc.title.none.fl_str_mv Estudio de la viabilidad de la estimación del grado de adherencia a estilos de vida saludables a partir de medidas cardíacas oportunistas
title Estudio de la viabilidad de la estimación del grado de adherencia a estilos de vida saludables a partir de medidas cardíacas oportunistas
spellingShingle Estudio de la viabilidad de la estimación del grado de adherencia a estilos de vida saludables a partir de medidas cardíacas oportunistas
Ferrer Mileo, Víctor
Àrees temàtiques de la UPC::Enginyeria electrònica
title_short Estudio de la viabilidad de la estimación del grado de adherencia a estilos de vida saludables a partir de medidas cardíacas oportunistas
title_full Estudio de la viabilidad de la estimación del grado de adherencia a estilos de vida saludables a partir de medidas cardíacas oportunistas
title_fullStr Estudio de la viabilidad de la estimación del grado de adherencia a estilos de vida saludables a partir de medidas cardíacas oportunistas
title_full_unstemmed Estudio de la viabilidad de la estimación del grado de adherencia a estilos de vida saludables a partir de medidas cardíacas oportunistas
title_sort Estudio de la viabilidad de la estimación del grado de adherencia a estilos de vida saludables a partir de medidas cardíacas oportunistas
dc.creator.none.fl_str_mv Ferrer Mileo, Víctor
author Ferrer Mileo, Víctor
author_facet Ferrer Mileo, Víctor
author_role author
dc.contributor.none.fl_str_mv García González, Miguel Ángel
Chimeno, J. F., 1958-
dc.subject.none.fl_str_mv Àrees temàtiques de la UPC::Enginyeria electrònica
topic Àrees temàtiques de la UPC::Enginyeria electrònica
description In recent times, developed countries have experienced an increase of several diseases related to non-healthy lifestyles. Nevertheless, as an individual, it is difficult to know the degree of adherence to a healthy lifestyle (EVS) regardless the personal benefits of following it are multiple. Therefore, the aim of this thesis is to estimate the degree of EVS of an individual from the measurement of cardiovascular variables in a non-intrusive, simple, comfortable and fast way. So, the measurement has to be done with a common device like a smartphone. This thesis has employed the heart rate variability (HRV) and the pulse arrival time (PAT) as cardiovascular variables. Several previous studies have demonstrated that the HRV could be measured with a smartphone but they have not quantified their accuracy. Therefore, this thesis has assessed if it is possible to do an accurate HRV measurement with these devices. It has found that some smartphones are not suitable due to their flash and the quantification error of the HRV is mainly from the pulse wave and not from the smartphone. Moreover, the optimal cut off frequencies to filter the pulse wave depend on the method used to detect its arrival. Also, the estimation error in the HRV extracted from a pulse wave depends on the measurement conditions. These could happen if the measurement is done in non-controlled environments as an inexperienced person measuring HRV with a smartphone. Some of these influences have been thoroughly studied. This thesis has evaluated the breathing, the postural and the contact force between photoplethysmograph sensor and the finger effects showing that all of them should be controlled. Additionally, in order to reduce the measurements conditions effects, the pulse wave arrival should be detected at the maximum of its first or second derivative or with the parametric estimator TANH. Moreover, the respiratory sinus arrhythmia is systematically bigger in the HRV extracted from the pulse wave than from the electrocardiogram, the human body get used to the contact force and the pulse wave morphology changes with it and, likely, with the posture. The PAT estimation is also affected by external measurements conditions but, usually, their effects have not been studied. This thesis recommends controlling the breathing frequency, the posture and the contact force in the PAT measurement and detect the pulse wave arrival in the maximum of its first derivative or, in case of contact force not being controlled, with the parametric estimator TANH. Moreover, the breathing frequency and the posture affect the PAT potency but only the first and the contact force influence the PAT mean value. On the other hand, short good measurements segments could exist within long and not-controlled measurement of HRV and/or PAT. However, the effect of a very short cardiovascular measurement on the HRV and the PAT quantification is little analysed. Therefore, they are studied in this thesis. It has been found that four HRV indexes and two PAT indexes can be employed in measurements between 10 and 90 seconds long. In addition, averaging several of them is a simple method to increase their repeatability and similarity. Consequently, up to ten HRV indexes can be used if the indexes computed from several measurements of very short duration are averaged. Finally, this thesis has studied if a separated or simultaneously measurement of the HRV and the PAT can be used to quantify the degree of EVS of an individual. It has been concluded that the relation between them is likely insufficient to accurately predict most of the EVS indicators that quantify the degree of EVS. In addition, it has been found a moderate and complex relationship between these indicators and the HRV and small and complex with the PAT. Moreover, there is no interaction between the HRV and the PAT that reflects a significant bigger relationship with most of the EVS indicators.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-10-11
2019
2019-10-21
dc.type.none.fl_str_mv doctoral thesis
http://purl.org/coar/resource_type/c_db06
VoR
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format doctoralThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/170437
https://dx.doi.org/10.5821/dissertation-2117-170437
url https://hdl.handle.net/2117/170437
https://dx.doi.org/10.5821/dissertation-2117-170437
dc.language.none.fl_str_mv Español
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dc.rights.none.fl_str_mv open access
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dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
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instname_str Universitat Politècnica de Catalunya (UPC)
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spelling Estudio de la viabilidad de la estimación del grado de adherencia a estilos de vida saludables a partir de medidas cardíacas oportunistasFerrer Mileo, VíctorÀrees temàtiques de la UPC::Enginyeria electrònicaIn recent times, developed countries have experienced an increase of several diseases related to non-healthy lifestyles. Nevertheless, as an individual, it is difficult to know the degree of adherence to a healthy lifestyle (EVS) regardless the personal benefits of following it are multiple. Therefore, the aim of this thesis is to estimate the degree of EVS of an individual from the measurement of cardiovascular variables in a non-intrusive, simple, comfortable and fast way. So, the measurement has to be done with a common device like a smartphone. This thesis has employed the heart rate variability (HRV) and the pulse arrival time (PAT) as cardiovascular variables. Several previous studies have demonstrated that the HRV could be measured with a smartphone but they have not quantified their accuracy. Therefore, this thesis has assessed if it is possible to do an accurate HRV measurement with these devices. It has found that some smartphones are not suitable due to their flash and the quantification error of the HRV is mainly from the pulse wave and not from the smartphone. Moreover, the optimal cut off frequencies to filter the pulse wave depend on the method used to detect its arrival. Also, the estimation error in the HRV extracted from a pulse wave depends on the measurement conditions. These could happen if the measurement is done in non-controlled environments as an inexperienced person measuring HRV with a smartphone. Some of these influences have been thoroughly studied. This thesis has evaluated the breathing, the postural and the contact force between photoplethysmograph sensor and the finger effects showing that all of them should be controlled. Additionally, in order to reduce the measurements conditions effects, the pulse wave arrival should be detected at the maximum of its first or second derivative or with the parametric estimator TANH. Moreover, the respiratory sinus arrhythmia is systematically bigger in the HRV extracted from the pulse wave than from the electrocardiogram, the human body get used to the contact force and the pulse wave morphology changes with it and, likely, with the posture. The PAT estimation is also affected by external measurements conditions but, usually, their effects have not been studied. This thesis recommends controlling the breathing frequency, the posture and the contact force in the PAT measurement and detect the pulse wave arrival in the maximum of its first derivative or, in case of contact force not being controlled, with the parametric estimator TANH. Moreover, the breathing frequency and the posture affect the PAT potency but only the first and the contact force influence the PAT mean value. On the other hand, short good measurements segments could exist within long and not-controlled measurement of HRV and/or PAT. However, the effect of a very short cardiovascular measurement on the HRV and the PAT quantification is little analysed. Therefore, they are studied in this thesis. It has been found that four HRV indexes and two PAT indexes can be employed in measurements between 10 and 90 seconds long. In addition, averaging several of them is a simple method to increase their repeatability and similarity. Consequently, up to ten HRV indexes can be used if the indexes computed from several measurements of very short duration are averaged. Finally, this thesis has studied if a separated or simultaneously measurement of the HRV and the PAT can be used to quantify the degree of EVS of an individual. It has been concluded that the relation between them is likely insufficient to accurately predict most of the EVS indicators that quantify the degree of EVS. In addition, it has been found a moderate and complex relationship between these indicators and the HRV and small and complex with the PAT. Moreover, there is no interaction between the HRV and the PAT that reflects a significant bigger relationship with most of the EVS indicators.En los últimos tiempos ha habido un incremento de diversas enfermedades relacionadas con estilos de vida poco saludables en los países desarrollados. No obstante, como individuo es difícil conocer el grado de adherencia a un estilo de vida saludable (EVS) a pesar que los beneficios personales de seguirlo son múltiples. Por ello, el objetivo de esta tesis es estimar el grado de EVS de un individuo a partir de la medida de variables cardiovasculares de manera no intrusiva, sencilla, cómoda y rápida. Por tanto, la medida debe poder ser realizable con un dispositivo de uso cotidiano como es un smartphone. Como variables cardiovasculares, esta tesis ha empleado la variabilidad del ritmo cardíaco (HRV) y el tiempo de llegada del pulso (PAT). Varias investigaciones previas han demostrado que se puede medir la HRV con un móvil pero no han cuantificado su precisión. Por ello, se ha evaluado si es posible realizar una medida de la HRV precisa con un smartphone. Se ha hallado que no todos los móviles son aptos debido al flash y que la mayor parte del error cometido al cuantificar la HRV se debe al uso de la onda de pulso y no al móvil. Además, las frecuencias de corte óptimas para filtrar la onda de pulso dependen del método utilizado para detectar su llegada. Asimismo, el error de estimación de la HRV con la onda de pulso depende de diversas condiciones de medida. Estas pueden suceder si la medida se realiza en entornos no controlados como es el caso que una persona no experta mida la HRV con un smartphone. Algunas de ellas han sido ampliamente estudiadas. Esta tesis ha evaluado los efectos de la respiración, de la postura y de la fuerza de contacto entre el fotopletismógrafo y el dedo demostrando que las tres deben ser controladas. Asimismo, para reducir los efectos de las condiciones de medida, la llegada de la onda de pulso debe detectarse en el máximo de su primera o de su segunda derivada o con el estimador paramétrico TANH. Además, la arritmia sinusal respiratoria es sistemáticamente mayor en la HRV extraída a partir de la onda pulso, el cuerpo humano se acondiciona a la fuerza de contacto y la morfología de la onda de pulso varía con ella y, probablemente, con la postura. La estimación del PAT también está afectada por las condiciones externas de medida pero sus efectos no se han analizado habitualmente. Esta tesis recomienda controlar la frecuencia de respiración, la postura y la fuerza de contacto para su medida y detectar la llegada del pulso en el máximo de su primera derivada o, si no se controla la fuerza, en el estimador paramétrico TANH. Además, la frecuencia de respiración y la postura afectan a la potencia del PAT pero solo la primera y la fuerza de contacto influyen sobre su valor medio. Cortos fragmentos de medida buenos pueden existir dentro de una medida de HRV y/o del PAT larga y no controlada aunque el efecto de una medida cardiovascular de duración muy corta en la cuantificación de la HRV y del PAT está poco analizado. Por ello, esta tesis lo estudia. Se ha encontrado que cuatro índices de HRV y dos del PAT pueden ser utilizados en medidas de entre 10 y 90 segundos. Además, promediar varias de ellas es una manera sencilla de incrementar su repetibilidad y su similitud. Como consecuencia, se pueden utilizar hasta 10 índices de HRV si se promedian los índices extraídos de varias medidas de duración muy corta. Por último, esta tesis ha estudiado si una medida separada o conjunta de la HRV y del PAT puede servir para cuantificar el grado de EVS de un individuo. Se concluye que la relación entre ellos es probablemente insuficiente para que la mayoría de los indicadores que cuantifican el grado de EVS puedan ser predichos con precisión. Además, se ha encontrado una moderada y compleja relación entre estos indicadores y la HRV y pequeña y compleja con el PAT. Asimismo, no existe una interacción entre la HRV y el PAT que refleje una relación significativamente mayor con la mayoría de los indicadores de EVS.Universitat Politècnica de CatalunyaGarcía González, Miguel ÁngelChimeno, J. F., 1958-20192019-10-1120192019-10-21doctoral thesishttp://purl.org/coar/resource_type/c_db06VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/doctoralThesisapplication/pdfhttps://hdl.handle.net/2117/170437https://dx.doi.org/10.5821/dissertation-2117-170437reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Españolspaopen accesshttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1704372026-05-27T15:37:01Z
score 15,300719

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