TY - GEN
T1 - Fractal analysis of epilepsy
AU - Morales-Matamoros, Oswaldo
AU - Contreras-Troya, Teresa I.
AU - Mota-Hernández, Cinthya I.
AU - Trueba-Ríos, Beatriz
PY - 2009
Y1 - 2009
N2 - A complex system has constituents interacting in a nonlinear way. A complex biological system is the human brain, which function is based on the communication between neurons, if there is a mistake in the communication between them, it can cause epilepsy. Epilepsy affects from 1% to 2% worldwide population. Fractal Geometry is used to analyze electroencephalograms (EEG) from epileptic patients to determine where the epileptogenic region is located to make a surgery to the epileptic patient. In this work fractal geometry is applied (using four self-affine trace methods: R/S analysis, Roughness-Length, Variogram, and Wavelets), to study temporal series generated by EEG from data that refers to people that do not have epilepsy but have had a neurological problem and epileptic patients. After doing the fractal analysis, it is concluded that for all complex signals (EGG) under studying, the best methods to analyze epilepsy are R/S and Variogram, because they were the solidest to every analyzed channel, in addition to be the nearest to the average values from the four self-affine trace methods.
AB - A complex system has constituents interacting in a nonlinear way. A complex biological system is the human brain, which function is based on the communication between neurons, if there is a mistake in the communication between them, it can cause epilepsy. Epilepsy affects from 1% to 2% worldwide population. Fractal Geometry is used to analyze electroencephalograms (EEG) from epileptic patients to determine where the epileptogenic region is located to make a surgery to the epileptic patient. In this work fractal geometry is applied (using four self-affine trace methods: R/S analysis, Roughness-Length, Variogram, and Wavelets), to study temporal series generated by EEG from data that refers to people that do not have epilepsy but have had a neurological problem and epileptic patients. After doing the fractal analysis, it is concluded that for all complex signals (EGG) under studying, the best methods to analyze epilepsy are R/S and Variogram, because they were the solidest to every analyzed channel, in addition to be the nearest to the average values from the four self-affine trace methods.
KW - Complex system
KW - Complexity
KW - Epilepsy
KW - Fractal analysis
UR - http://www.scopus.com/inward/record.url?scp=84865660687&partnerID=8YFLogxK
M3 - Contribución a la conferencia
AN - SCOPUS:84865660687
SN - 9781615678334
T3 - 53rd Annual Conference of the International Society for the Systems Sciences 2009: Making Liveable, Sustainable Systems Unremarkable
SP - 509
EP - 521
BT - 53rd Annual Conference of the International Society for the Systems Sciences 2009
T2 - 53rd Annual Conference of the International Society for the Systems Sciences 2009: Making Liveable, Sustainable Systems Unremarkable
Y2 - 12 July 2009 through 17 July 2009
ER -