Linear and nonlinear characteristics of ECG signals produced by simulations of ventricular tachyarrhythmias
نویسنده
چکیده
The aim of this study was to compare pseudo-ECGs produced by different configurations of re-entry in a computational model. We initiated single, double and multiple re-entrant waves in a cuboid with Fitz-Hugh Nagumo excitability. We estimated one component of the pseudo-ECG, and applied linear time-frequency and nonlinear dimensional analysis. The pseudo-ECG produced by a single re-entrant wave was periodic, whereas that produced by a double re-entrant wave was quasiperiodic with slow changes in both frequency content and amplitude. The dimension of these time series was around 1 and 3 respectively. The time-frequency distribution of the pseudo-ECG produced by multiple re-entrant waves was more complex with rapid changes in frequency and amplitude, and the dimension of the pseudo-ECG time series was around 4. Thus different configurations of reentrant wave are associated with qualitatively and quantitatively different pseudo-ECG time series.
منابع مشابه
سنجش استعداد ابتلا به فیبریلاسیون دهلیزی با استفاده از تحلیلهای غیر خطی سیگنال الکتروکاردیوگرام
Atrial Fibrillation is a supra ventricular tachyarrhythmia, which is characterized by the deterioration of atrial mechanical function and aberrant. It has become a social and economic problem because a large percentage of the world population suffering from this disease. The early diagnosis of this fatal cardiac Arrhythmia can be prevented and managed it. In this study, we used non-invasive met...
متن کاملA New Approach to Detect Congestive Heart Failure Using Symbolic Dynamics Analysis of Electrocardiogram Signal
The aim of this study is to show that the measures derived from Electrocardiogram (ECG) signals many a time perform better than the same measures obtained from heart rate (HR) signals. A comparison was made to investigate how far the nonlinear symbolic dynamics approach helps to characterize the nonlinear properties of ECG signals and HR signals, and thereby discriminate between normal and cong...
متن کاملA New Approach to Detect Congestive Heart Failure Using Symbolic Dynamics Analysis of Electrocardiogram Signal
The aim of this study is to show that the measures derived from Electrocardiogram (ECG) signals many a time perform better than the same measures obtained from heart rate (HR) signals. A comparison was made to investigate how far the nonlinear symbolic dynamics approach helps to characterize the nonlinear properties of ECG signals and HR signals, and thereby discriminate between normal and cong...
متن کاملA new approach to detect Life threatening cardiac arrhythmias using Sequential spectrum of Electrocardiogram signals
This study evaluates the discriminative power of sequential spectrum analysis of the short-term electrocardiogram (ECG) time series in separating normal and subjects with life threatening arrhythmias like, ventricular tachycardia/fibrillation (VT/VF). The raw ECG time series is transformed into a series of binary symbols and the binary occupancy or relative distribution of mono-sequences (i.e. ...
متن کاملAdaptive Filtering Strategy to Remove Noise from ECG Signals Using Wavelet Transform and Deep Learning
Introduction: Electrocardiogram (ECG) is a method to measure the electrical activity of the heart which is performed by placing electrodes on the surface of the body. Physicians use observation tools to detect and diagnose heart diseases, the same is performed on ECG signals by cardiologists. In particular, heart diseases are recognized by examining the graphic representation of heart signals w...
متن کامل