David Matelot

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The analysis of cardiac dynamics based on time series extracted from cardiovascular signals (e.g. electrocardiogram, blood pressure) is relevant for differentiating between normal and pathological cases with feasible functions in the diagnosis and risk estimation. In this study, the dynamic behavior of cardiovascular time series is analyzed using(More)
In this study, we evaluate the ability to automatically predict syncope and differentiate between patients with positive response to head up tilt test (HUTT) and other with negative response, using only 12-min RR-interval time series for the supine position, preceding HUTT. An original method, based on the analysis of heart rate variability dynamics and a(More)
The aim of this paper is to improve the physiological understanding in order to differentiate between the two types of vasovagal syncope by performing a Head-up Tilt Test. The Head-up Tilt Test is a well known procedure to reproduce vasovagal syncope, patients who had syncope during the test show different orthostatic response depending on they are(More)
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