Valentina Ticcinelli

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
The skin flowmotion of 13 patients suffering from critical limb ischemia (CLI) was studied with wavelet analysis (WA) of the laser Doppler signals (LDS). The WA selects six different frequency components (FCs), each relating to a specific cardiovascular system structures activities; FC I 1-2 Hz heart, FC II 0.2 Hz respiratory, FC III 0.1 Hz myogenic, FC IV(More)
Although neural interactions are usually characterized only by their coupling strength and directionality, there is often a need to go beyond this by establishing the functional mechanisms of the interaction. We introduce the use of dynamical Bayesian inference for estimation of the coupling functions of neural oscillations in the presence of noise. By(More)
The balance and functionality of the cardiovascular system are maintained by a network of couplings between the different oscillations involved. We study the effect of ageing on these interactions through the application of wavelet analysis, and by the use of dynamical Bayesian inference to compute coupling functions. The method, applied to phases extracted(More)
The haemodynamics of skin microcirculation can be quantitatively evaluated by Laser Doppler Fluxmetry (LDF). LDF signal in human skin shows periodic oscillations. Spectral analysis by wavelet transform displays six characteristic frequency intervals (FI) from 0.005 to 2 Hz, related to distinct vascular structures activities: heart (0.6-2 Hz), sympathetic(More)
  • 1