TY - GEN
T1 - EEG tanisinda burg yönteminin model derecesi hassasiyeti
AU - Aydin, Serap
PY - 2008
Y1 - 2008
N2 - In the present study, eyes open and eyes closed EEG records of healthy volunteersa and intracrinal EEG records of epilepsy patiants are analysed by the Burg Method. The results of power spectral densities shows that clinical long EEG data correspondes with high order autoregressive (AR) model. The higher frequency resolution is obtained as empirically selected model order increases. High order for AR modeling provides us to more sensitive diagnose in EEG analysis.
AB - In the present study, eyes open and eyes closed EEG records of healthy volunteersa and intracrinal EEG records of epilepsy patiants are analysed by the Burg Method. The results of power spectral densities shows that clinical long EEG data correspondes with high order autoregressive (AR) model. The higher frequency resolution is obtained as empirically selected model order increases. High order for AR modeling provides us to more sensitive diagnose in EEG analysis.
UR - https://www.scopus.com/pages/publications/56449117872
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=performanshacettepe&SrcAuth=WosAPI&KeyUT=WOS:000261359200017&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.1109/SIU.2008.4632553
DO - 10.1109/SIU.2008.4632553
M3 - Konferans katkısı
AN - SCOPUS:56449117872
SN - 9781424419999
T3 - 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
BT - 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
T2 - 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
Y2 - 20 April 2008 through 22 April 2008
ER -