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Applications of Higuchi's fractal dimension in the Analysis of Biological Signals

Authorized Users Only
2012
Authors
Spasić, Slađana
Savić, A.
Nikolic, L.
Budimir, Snežana M
Janosević, D.
Mitrović, Aleksandra
Conference object (Published version)
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Abstract
Significant contribution to understanding of complex biological systems emerged from application of fractal analysis. This paper presents a fractal analysis as one of many mathematical methods in the analysis of biological signals. Higuchi's fractal dimension is used in stationary and quasi-stationary bio-signals (EEG, ECoG) analysis and appropriately modified in the analysis of the bimodal pattern of neuronal activity as non-stationary signals.
Keywords:
neuronal activity / Higuchi's fractal dimension / EEG / bio-signal analysis
Source:
2012 20th Telecommunications Forum, TELFOR 2012 - Proceedings, 2012, 639-641
Funding / projects:
  • Fishes as water quality indicators in open waters of Serbia (RS-173045)
  • Study of structure-function relationships in the plant cell wall and modifications of the wall structure by enzyme engineering (RS-173017)
  • Biotechnology in vitro - crop, medicinal and endangered plant species (RS-173015)
  • The effects of magnetic fields and other environmental stressors on the physiological responses and behavior of different species (RS-173027)

DOI: 10.1109/TELFOR.2012.6419291

ISBN: 978-146732984-2

WoS: 000316626800154

Scopus: 2-s2.0-84874174909
[ Google Scholar ]
7
2
URI
http://rimsi.imsi.bg.ac.rs/handle/123456789/561
Collections
  • Radovi istraživača / Researchers’ publications
Institution/Community
Institut za multidisciplinarna istraživanja
TY  - CONF
AU  - Spasić, Slađana
AU  - Savić, A.
AU  - Nikolic, L.
AU  - Budimir, Snežana M
AU  - Janosević, D.
AU  - Mitrović, Aleksandra
PY  - 2012
UR  - http://rimsi.imsi.bg.ac.rs/handle/123456789/561
AB  - Significant contribution to understanding of complex biological systems emerged from application of fractal analysis. This paper presents a fractal analysis as one of many mathematical methods in the analysis of biological signals. Higuchi's fractal dimension is used in stationary and quasi-stationary bio-signals (EEG, ECoG) analysis and appropriately modified in the analysis of the bimodal pattern of neuronal activity as non-stationary signals.
C3  - 2012 20th Telecommunications Forum, TELFOR 2012 - Proceedings
T1  - Applications of Higuchi's fractal dimension in the Analysis of Biological Signals
EP  - 641
SP  - 639
DO  - 10.1109/TELFOR.2012.6419291
ER  - 
@conference{
author = "Spasić, Slađana and Savić, A. and Nikolic, L. and Budimir, Snežana M and Janosević, D. and Mitrović, Aleksandra",
year = "2012",
abstract = "Significant contribution to understanding of complex biological systems emerged from application of fractal analysis. This paper presents a fractal analysis as one of many mathematical methods in the analysis of biological signals. Higuchi's fractal dimension is used in stationary and quasi-stationary bio-signals (EEG, ECoG) analysis and appropriately modified in the analysis of the bimodal pattern of neuronal activity as non-stationary signals.",
journal = "2012 20th Telecommunications Forum, TELFOR 2012 - Proceedings",
title = "Applications of Higuchi's fractal dimension in the Analysis of Biological Signals",
pages = "641-639",
doi = "10.1109/TELFOR.2012.6419291"
}
Spasić, S., Savić, A., Nikolic, L., Budimir, S. M., Janosević, D.,& Mitrović, A.. (2012). Applications of Higuchi's fractal dimension in the Analysis of Biological Signals. in 2012 20th Telecommunications Forum, TELFOR 2012 - Proceedings, 639-641.
https://doi.org/10.1109/TELFOR.2012.6419291
Spasić S, Savić A, Nikolic L, Budimir SM, Janosević D, Mitrović A. Applications of Higuchi's fractal dimension in the Analysis of Biological Signals. in 2012 20th Telecommunications Forum, TELFOR 2012 - Proceedings. 2012;:639-641.
doi:10.1109/TELFOR.2012.6419291 .
Spasić, Slađana, Savić, A., Nikolic, L., Budimir, Snežana M, Janosević, D., Mitrović, Aleksandra, "Applications of Higuchi's fractal dimension in the Analysis of Biological Signals" in 2012 20th Telecommunications Forum, TELFOR 2012 - Proceedings (2012):639-641,
https://doi.org/10.1109/TELFOR.2012.6419291 . .

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