Physiological time series: distinguishing fractal noises from motions

• Published in: Pflügers Archiv Vol. 439; no. 4; pp. 403 - 415
• Main Authors: Eke, A, Hermán, P, Bassingthwaighte, J B, Raymond, G M, Percival, D B, Cannon, M, Balla, I, Ikrényi, C
• Format: Journal Article
• Language: English
• Published: Germany 01.02.2000
• Subjects: Animals; Cerebral Cortex - blood supply; Cerebrovascular Circulation - physiology; Fourier Analysis; Fractals; Laser-Doppler Flowmetry - methods; Laser-Doppler Flowmetry - standards; Memory; Models, Cardiovascular; Motion; Rats; Reproducibility of Results; Signal Processing, Computer-Assisted; Software Design

Many physiological signals appear fractal, in having self-similarity over a large range of their power spectral densities. They are analogous to one of two classes of discretely sampled pure fractal time signals, fractional Gaussian noise (fGn) or fractional Brownian motion (fBm). The fGn series are...