DocumentCode :
2144964
Title :
Connectivity Analysis of Quantitative Electroencephalogram Background Activity in Autism Disorders with Short Time Fourier Transform and Coherence Values
Author :
Sheikhani, Ali ; Behnam, Hamid ; Mohammadi, Mohammad Reza ; Noroozian, Maryam ; Golabi, Pari
Author_Institution :
Biomed. Eng. Fac., Islamic Azad Univ., Tehran
Volume :
1
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
207
Lastpage :
212
Abstract :
Electroencephalography (EEG) is widely used in clinical settings to investigate neurophysiology. Since EEG signals contain a wealth of information about brain functions, there are many approaches in analyzing EEG signals with spectral techniques. We have used short time Fourier transform (STFT) at 19 channels of EEG for 10 Autism disorders (6-11 years old) and 7 age matched control subjects. The values were assessed with variance analysis. Results are shown that beta band (14-34Hz) has 82.4% discriminate between two groups. Coherence values at between 112 pairs of 19 channels EEG are shown there are abnormalities connectivity in parietal lobe and temporal lobe and connectivity between these lobes and central lobe.
Keywords :
Fourier transforms; electroencephalography; medical signal processing; EEG signals; autism disorders; brain functions; coherence values; connectivity analysis; neurophysiology; parietal lobe-temporal lobe; quantitative electroencephalogram background activity; short time Fourier transform; variance analysis; Autism; Band pass filters; Electrodes; Electroencephalography; Electromyography; Fourier transforms; Frequency; Scalp; Signal analysis; Variable speed drives; EEG; STFT; autism; coherence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3119-9
Type :
conf
DOI :
10.1109/CISP.2008.595
Filename :
4566149
Link To Document :
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