We recorded electrocortical activity in anesthetized rats and constructed kmax new self-similar time series, applying Higuchi's algorithm. The aim of this study was to estimate value of the parameter k(max). in order to obtain fractal dimension values as an optimum measure of biosignal change. After our analysis, electrocortical activity recordings resulted in a family of curves f(k(max)). Three regions could be distinguished 2 lt = k(max). lt 8, with a U-shape; 8 lt = k(max) lt = 30, with a steeper quasilinear increase; and k(max) >= 30, with a smaller slope quasilinear increase. We suggest the optimum region for k(max): 8 lt k(max) lt 18, specifically k(max) = 8.
Keywords:
parameter k(max) / fractal dimension / biosignals
Source:
Biophysics From Molecules to Brain: in Memory of Radoslav K. Andjus, 2005, 1048, 427-429
TY - JOUR
AU - Spasić, Slađana
AU - Kalauzi, Aleksandar
AU - Culic, M
AU - Grbic, G
AU - Martać, Ljiljana
PY - 2005
UR - http://rimsi.imsi.bg.ac.rs/handle/123456789/136
AB - We recorded electrocortical activity in anesthetized rats and constructed kmax new self-similar time series, applying Higuchi's algorithm. The aim of this study was to estimate value of the parameter k(max). in order to obtain fractal dimension values as an optimum measure of biosignal change. After our analysis, electrocortical activity recordings resulted in a family of curves f(k(max)). Three regions could be distinguished 2 lt = k(max). lt 8, with a U-shape; 8 lt = k(max) lt = 30, with a steeper quasilinear increase; and k(max) >= 30, with a smaller slope quasilinear increase. We suggest the optimum region for k(max): 8 lt k(max) lt 18, specifically k(max) = 8.
PB - New York Acad Sciences, New York
T2 - Biophysics From Molecules to Brain: in Memory of Radoslav K. Andjus
T1 - Estimation of parameter k(max) in fractal analysis of rat brain activity
EP - 429
SP - 427
VL - 1048
DO - 10.1196/annals.1342.054
ER -
@article{
author = "Spasić, Slađana and Kalauzi, Aleksandar and Culic, M and Grbic, G and Martać, Ljiljana",
year = "2005",
abstract = "We recorded electrocortical activity in anesthetized rats and constructed kmax new self-similar time series, applying Higuchi's algorithm. The aim of this study was to estimate value of the parameter k(max). in order to obtain fractal dimension values as an optimum measure of biosignal change. After our analysis, electrocortical activity recordings resulted in a family of curves f(k(max)). Three regions could be distinguished 2 lt = k(max). lt 8, with a U-shape; 8 lt = k(max) lt = 30, with a steeper quasilinear increase; and k(max) >= 30, with a smaller slope quasilinear increase. We suggest the optimum region for k(max): 8 lt k(max) lt 18, specifically k(max) = 8.",
publisher = "New York Acad Sciences, New York",
journal = "Biophysics From Molecules to Brain: in Memory of Radoslav K. Andjus",
title = "Estimation of parameter k(max) in fractal analysis of rat brain activity",
pages = "429-427",
volume = "1048",
doi = "10.1196/annals.1342.054"
}
Spasić, S., Kalauzi, A., Culic, M., Grbic, G.,& Martać, L.. (2005). Estimation of parameter k(max) in fractal analysis of rat brain activity. in Biophysics From Molecules to Brain: in Memory of Radoslav K. Andjus
New York Acad Sciences, New York., 1048, 427-429.
https://doi.org/10.1196/annals.1342.054
Spasić S, Kalauzi A, Culic M, Grbic G, Martać L. Estimation of parameter k(max) in fractal analysis of rat brain activity. in Biophysics From Molecules to Brain: in Memory of Radoslav K. Andjus. 2005;1048:427-429.
doi:10.1196/annals.1342.054 .
Spasić, Slađana, Kalauzi, Aleksandar, Culic, M, Grbic, G, Martać, Ljiljana, "Estimation of parameter k(max) in fractal analysis of rat brain activity" in Biophysics From Molecules to Brain: in Memory of Radoslav K. Andjus, 1048 (2005):427-429,
https://doi.org/10.1196/annals.1342.054 . .
