BOUDAOUD , Sofiane

The subject of the thesis is the analysis of shape variability of a set of signals. The main applications are in the processing of electrophysiological signals coming from the auditory pathway or the heart. This signal shape variability is often present in signals generated by biological processes and should contain information. To have an...

The variability of a set of biomedical signals is analysed following some criterions. Firstly, when the signal source is unique, the variability may be, for one sensor in function of the time occurrence of the signals, for several sensors at the same time, a spatial variability. The case of several sources corresponds to the inter subject...

Classical signal averaging is an important operation in signal processing applications but is meaningless if shape or time variability is present among the signals being averaged. Structural Average Estimation (SAE) and Integral Shape Averaging (ISA) are recent methods that deal with these types of variability by providing a "structural...

International audience

Signal shape clustering, using k-means, is combined to shape averaging to estimate the class centers. Simulation results are presented for the separation of single and double Gaussian signals. An illustration on real P-waves is then given.

International audience

The P-wave shape analysis remains an interesting objective in various situations. In this paper, the aim is to investigate how the P-wave morphology changes during time-varying effort. To perform this task, a method, Self-Modeling Registration (SMR), derived from the Curve Registration (CR) theory is used. This method permits to link different...

In this paper, we propose a method for detecting alterations in the Ensemble Spontaneous Activity (ESA), a random signal representing the composite spontaneous contribution of the auditory nerve recorded on the round window. The proposed method is based on shape analysis of the ESA amplitude histogram. For this task, we use a recent approach,...

Recent studies pointed out possible shapemodifications of the Probability Density Function (PDF) ofsurface electromyographical (sEMG) data according to severalcontexts like fatigue and muscle force increase. Following thisidea, criteria have been proposed to monitor these shapemodifications mainly using High Order Statistics (HOS)parameters...

International audience

We present a technique called corrected integral shape averaging (CISA) for quantifying shape and shape differences in a set of signals. CISA can be used to account for signal differences which are purely due to affine time warping (jitter and dilation/compression), and hence provide access to intrinsic shape fluctuations. CISA can also be used...

The recognition of patients with atrial fibrillation (AF) risk, from body surface ECG, remains an actual problem. The aim of the work is to investigate how the study of the P-wave morphology may assess any clustering algorithm in separating patients with AF risk from healthy subjects. The clustering is done by the k-means algorithm and using a...