activity
20012003
most citedMemory beyond memory in heart beating: an efficient way to detect pathological conditions

72 citations · 165 across the 7 of their papers we have counts for

collaborators

7 papers

physics.data-an2003★ 10 cited

Scaling in Non-stationary Time Series II: Teen Birth Phenomenon

M. Ignaccolo, P. Allegrini, P. Grigolini +2

This paper is devoted to the problem of statistical mechanics raised by the analysis of an issue of sociological interest: the teen birth phenomenon. It is expected that these data…

physics.data-an2003★ 13 cited

Scaling in Non-stationary time series I

M. Ignaccolo, P. Allegrini, P. Grigolini +2

Most data processing techniques, applied to biomedical and sociological time series, are only valid for random fluctuations that are stationary in time. Unfortunately, these data a…

cond-mat.soft2002

Real event detection and the treatment of congestive heart failure: an e fficient technique to help cardiologists to make crucial decisions

P. Allegrini, R. Balocchi, S. Chillemi +5

Using a method of entropic analysis of time series we establish the correlation between heartbeat long-range memory and mortality risk in patients with congestive heart failure.

cond-mat.stat-mech2002★ 3 cited

Non-extensive diffusion entropy analysis: non-stationarity in teen birth phenomena

N. Scafetta, P. Grigolini, P. Hamilton +1

A complex process is often a balance between non-stationary and stationary components. We show how the non-extensive Tsallis q-entropy indicator may be interpreted as a measure of…

cond-mat2002★ 62 cited

Compression and diffusion: a joint approach to detect complexity

P. Allegrini, V. Benci, P. Grigolini +8

The adoption of the Kolmogorov-Sinai (KS) entropy is becoming a popular research tool among physicists, especially when applied to a dynamical system fitting the conditions of vali…

cond-mat.stat-mech2001★ 5 cited

Facing Non-Stationary Conditions with a New Indicator of Entropy Increase: The Cassandra Algorithm

P. Allegrini, P. Grigolini, P. Hamilton +3

We address the problem of detecting non-stationary effects in time series (in particular fractal time series) by means of the Diffusion Entropy Method (DEM). This means that the ex…