RT info:eu-repo/semantics/masterThesis
T1 Implementación de un paquete de software para el ajuste de modelos FMM. Aplicación a la interpretación automática de la señal del electrocardiograma
A1 Lamela Pérez, Adrián
A2 Universidad de Valladolid. Escuela de Ingeniería Informática de Valladolid
K1 FMM
K1 Modelo estadístico
K1 Electrocardiograma
AB Cyrcadian clock, cell cycle, astrophysics, are only the top of a much bigger icebergof oscillatory signals. The study of this signals has been adressed since the decade of90's, but it is now when the improvements of computer science allow us to achieve moreresults on these studies.Many models have been developed, including Cosinor methodology and some machinelearning techniques. However, the  rst one displays one major drawback, failingto represent a vast number of morphologies, while the second one acts as a  black box with no enough precission.This work focuses on a novel approach called Frecuency Modulated Möbius (FMM)developed by the research group  Inferencia con Restricciones  (University of Valladolid)in 2019. It also serves as the natural sequel to a previous work of this author [6]. Threepapers establish the basis of the methodology and interesting applications. The  rst onedescribes the FMM methodology and was published in 2019 [1]. The second one studiesthe application of this model in an automatic analysis of electrocardiogram data, whichis currently under revision [3]. The last one focuses on details of implementation, andit is still in development [2]. The author of this TFM has participated in the last twoof them.Chapter 1 describes the theoretical details of FMM model and its derivations, includingthe multicomponent FMM model, restricted FMM model, and ECG-based FMMmodel. In Chapter 2, we discuss in more depth the details and implications of an automaticanalysis of ECGs based on this methodology. Last Chapter is focused on practicaluses of these models, and examples of use of the software developed.
YR 2020
FD 2020
LK http://uvadoc.uva.es/handle/10324/44944
UL http://uvadoc.uva.es/handle/10324/44944
LA spa
NO Departamento de Informática (Arquitectura y Tecnología de Computadores, Ciencias de la Computación e Inteligencia Artificial, Lenguajes y Sistemas Informáticos)
DS UVaDOC
RD 15-may-2024