TY - GEN
T1 - Statistical parameters in the dual tree complex wavelet transform domain for the detection of epilepsy and seizure
AU - Das, Anindya Bijoy
AU - Bhuiyan, Mohammed Imamul Hassan
AU - Alam, S. M.Shafiul
PY - 2014
Y1 - 2014
N2 - In this paper, a comprehensive statistical analysis of electroencephalogram (EEG) signals is carried out in the dual tree complex wavelet transform domain using a publicly available EEG database. It is shown that variance and kurtosis can be effective in distinguishing EEG signals at sub-band levels. It is further shown that the parameters of a normal inverse Gaussian probability density function can equally discriminate the EEG signals at sub-band levels. Thus, these statistical quantities may be used to characterize EEG signals and help the researchers in developing improved classifiers for the detection of epilepsy and seizure and building a better understanding of the diverse process of EEG signals.
AB - In this paper, a comprehensive statistical analysis of electroencephalogram (EEG) signals is carried out in the dual tree complex wavelet transform domain using a publicly available EEG database. It is shown that variance and kurtosis can be effective in distinguishing EEG signals at sub-band levels. It is further shown that the parameters of a normal inverse Gaussian probability density function can equally discriminate the EEG signals at sub-band levels. Thus, these statistical quantities may be used to characterize EEG signals and help the researchers in developing improved classifiers for the detection of epilepsy and seizure and building a better understanding of the diverse process of EEG signals.
KW - Dual Tree Complex Wavelet Transform(DT-CWT)
KW - Electroencephalogram(EEG)
KW - Normal Inverse Gaus-sian(NIG)
KW - Seizure
UR - https://www.scopus.com/pages/publications/84899056019
U2 - 10.1109/EICT.2014.6777821
DO - 10.1109/EICT.2014.6777821
M3 - Conference contribution
AN - SCOPUS:84899056019
SN - 9781479922994
T3 - 2013 International Conference on Electrical Information and Communication Technology, EICT 2013
BT - 2013 International Conference on Electrical Information and Communication Technology, EICT 2013
PB - IEEE Computer Society
T2 - 2013 International Conference on Electrical Information and Communication Technology, EICT 2013
Y2 - 13 February 2014 through 15 February 2014
ER -