1,721,318 research outputs found
Carolus Landi - L. Castiglioni, P. Ovidi Nasonis Fastorum Libri VI
No full textRenard Marcel. Carolus Landi - L. Castiglioni, P. Ovidi Nasonis Fastorum Libri VI. In: L'antiquité classique, Tome 21, fasc. 1, 1952. p. 173
EVALUATION OF HEART RHYTHM VARIABILITY BY HEART-RATE OR HEART PERIOD - DIFFERENCES, PITFALLS AND HELP FROM LOGARITHMS
No full textWhat is wrong in Katz’s method? Comments on: “A note on fractal dimensions of biomedical waveforms”
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Self-similarity in Physiological Time Series: New Perspectives from the Temporal Spectrum of Scale Exponents
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Comparing Multiscale Estimators of the Degree of Multifractality by Detrended Fluctuation Analysis
No full textSome physiological series, like the cardiovascular signals, show multifractal structures that depend on the temporal scale. Thus, their fractal nature is better assessed by a Detrended Fluctuation Analysis (DFA) approach that provides multifractal coefficients scale by scale. Our aim is to compare two estimators of the degree of scale-by-scale multifractality based on the width of the singularity spectrum or on the statistical dispersion of the DFA coefficients. We synthesized 1000 series of white noise (monofractal and monoscale), of autoregressive noise (monofractal and multiscale) and of Cauchy-distributed noise (multifractal and monoscale) comparing the two estimators at scales between 8 and 228 samples. We found that the two estimators provide similar scale-by-scale profiles of multifractality. However, the statistical-dispersion estimator better distinguishes multifractal from monofractal noises at all the scales, thus appearing more suitable than the singularity-spectrum width to describe the fractal structure of physiological time series
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