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Faculté des Sciences appliquées
Faculté des Sciences appliquées
MASTER THESIS
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Master thesis : Exploring the Fractal Dynamics of the Heart Rate: Modeling and Analysis of Components in Health and Disease

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de la Brassinne Bonardeaux, Ophélie ULiège
Promotor(s) : Sacré, Pierre ULiège
Date of defense : 26-Jun-2023/27-Jun-2023 • Permalink : http://hdl.handle.net/2268.2/17701
Details
Title : Master thesis : Exploring the Fractal Dynamics of the Heart Rate: Modeling and Analysis of Components in Health and Disease
Author : de la Brassinne Bonardeaux, Ophélie ULiège
Date of defense  : 26-Jun-2023/27-Jun-2023
Advisor(s) : Sacré, Pierre ULiège
Committee's member(s) : Franci, Alessio ULiège
Drion, Guillaume ULiège
Language : English
Number of pages : 80
Keywords : [en] Fractals
[en] Heart Rate
Discipline(s) : Engineering, computing & technology > Civil engineering
Research unit : Centre de Recherches du Cyclotron (Université de Liège)
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master : ingénieur civil en informatique, à finalité spécialisée en "management"
Faculty: Master thesis of the Faculté des Sciences appliquées

Abstract

[en] The presence of a fractal pattern, characterized by self-similarity at various scales, has been
observed in numerous biological signals. This thesis specifically investigates the fractal pattern
of the heart rate. The main objective of this project is to analyze the underlying mechanisms
that contribute to this complex structure, aiming to gain a deeper understanding of its nature
and how it is influenced by different diseases. The study focused on three distinct groups
which included healthy subjects, individuals with congestive heart failure, and those with atrial
fibrillation. The study aimed to adapt and expand a stochastic model proposed by Ivanov et
al. (1998), which originally focused on modeling the fractal dynamics of heart rate in healthy
individuals. The model assumes that the heart rate is influenced by the parasympathetic and
sympathetic systems. In this project, the model was re-implemented and extended to incorporate
diseased subjects. The extended stochastic model accurately represented the fractal dynamics
of the heart rate, showing strong correlation with observed patterns. Atrial fibrillation resulted
in a complete loss of fractal dynamics at low scales, replaced by a random signal. Congestive
heart failure had a lesser impact but showed a reduction in the influence of the sympathetic and
parasympathetic systems. These findings highlight the model’s strength in elucidating complex
physiological processes. Looking ahead, further advancements can be made by incorporating
additional factors, paving the way for even more comprehensive understanding.


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Author

  • de la Brassinne Bonardeaux, Ophélie ULiège Université de Liège > Master ingé. civ. info., à fin.

Promotor(s)

Committee's member(s)

  • Franci, Alessio ULiège Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Brain-Inspired Computing
    ORBi View his publications on ORBi
  • Drion, Guillaume ULiège Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
    ORBi View his publications on ORBi
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