A Phase Space Box-counting based Method for Arrhythmia Prediction from Electrocardiogram Time Series

Cappiello, Grazia (2013) A Phase Space Box-counting based Method for Arrhythmia Prediction from Electrocardiogram Time Series. [Laurea specialistica], Università di Bologna, Corso di Studio in Ingegneria biomedica [LS-DM509] - Cesena, Documento ad accesso riservato.
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Arrhythmia is one kind of cardiovascular diseases that give rise to the number of deaths and potentially yields immedicable danger. Arrhythmia is a life threatening condition originating from disorganized propagation of electrical signals in heart resulting in desynchronization among different chambers of the heart. Fundamentally, the synchronization process means that the phase relationship of electrical activities between the chambers remains coherent, maintaining a constant phase difference over time. If desynchronization occurs due to arrhythmia, the coherent phase relationship breaks down resulting in chaotic rhythm affecting the regular pumping mechanism of heart. This phenomenon was explored by using the phase space reconstruction technique which is a standard analysis technique of time series data generated from nonlinear dynamical system. In this project a novel index is presented for predicting the onset of ventricular arrhythmias. Analysis of continuously captured long-term ECG data recordings was conducted up to the onset of arrhythmia by the phase space reconstruction method, obtaining 2-dimensional images, analysed by the box counting method. The method was tested using the ECG data set of three different kinds including normal (NR), Ventricular Tachycardia (VT), Ventricular Fibrillation (VF), extracted from the Physionet ECG database. Statistical measures like mean (μ), standard deviation (σ) and coefficient of variation (σ/μ) for the box-counting in phase space diagrams are derived for a sliding window of 10 beats of ECG signal. From the results of these statistical analyses, a threshold was derived as an upper bound of Coefficient of Variation (CV) for box-counting of ECG phase portraits which is capable of reliably predicting the impeding arrhythmia long before its actual occurrence. As future work of research, it was planned to validate this prediction tool over a wider population of patients affected by different kind of arrhythmia, like atrial fibrillation, bundle and brunch block, and set different thresholds for them, in order to confirm its clinical applicability.

Tipologia del documento
Tesi di laurea (Laurea specialistica)
Autore della tesi
Cappiello, Grazia
Relatore della tesi
Correlatore della tesi
Corso di studio
Scelta guidata 1 (biomeccanica e organi artificiali)
Ordinamento Cds
Parole chiave
Arrhythmia prediction, Electrocardiogram, Box-counting, Phase space analysis
Data di discussione della Tesi
21 Marzo 2013

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