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
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