Balkine Khaddoumi

Learn More
The analysis of heart period series is a difficult task especially under graded exercise conditions. From all the information present in these series, we are the most interested in the coupling between respiratory and cardiac systems, known as respiratory sinus arrythmia. In this paper, we show that precise patterns concerning the respiratory frequency can(More)
In this paper, we present a combination between Empirical Mode Decomposition (EMD) approach and Hilbert transform approach for the purpose of R peak detection in Electrocardiogram (ECG) signal. This algorithm uses the EMD to find the signal which highlights the region of the QRS complex in ECG signal by combining the first three IMF that contain sufficient(More)
The spatial distribution of the shape of the electrocardiography (ECG) waves obtained by body surface potential mapping (BSPM) is studied, using a 64-channel high-resolution ECG system. The index associated to each lead is the shape difference between its ECG wave and a reference computed taking into account all the leads on the same column. The reference(More)
This work aims to study the shape variability of the T-waves using multi channel records. The classification between a group of subjects with Myocardial Infarction (MI) and a group of healthy subjects is obtained using a synthetic signal called Integral Shape Averaging (ISA). Our methodology is based on calculation of projection coefficients corresponding(More)
The rapid and the irregularity of the electrical activity that characterizes Atrial Fibrillation produce an increase in both variability and complexity of RR intervals series. Based on these two characteristics, we have developed a method combining two nonlinear statistical techniques in order to detect the presence of Atrial Fibrillation. These two(More)
  • 1