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Gözler açık/kapalı durumunda EEG bantlarındaki frekans değişiminin Güç Spektral Yoğunluğu ile belirlenmesi

Determination of changes in EEG bands frequencies with PSD in eyes open/closed conditions

Journal Name:

  • Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi

Publication Year:

  • 2015

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Electroencephalogram (EEG) sign is extensively used to obtain the information about the electrical activities in brain. In this study, the changes of the power spectral density (PSD) in the EEG data during eyes-closed and eyes-open states were analyzed. In the analysis, the interval of dominant frequencies was roughly determined with different approaches. The EEG signal is separated into sub bands with wavelet transform (WT). The Welch method which is the one of the classical methods was used for PSD prediction and the Burg and Yule- Walker parametric methods were used also for PSD prediction of the EEG signal. It was observed that the alpha rhythm is dominant band in the eyes closed state compared to eyes open state. It is also seen that the differences between the signals can be reveal with parametric methods compared to nonparametric methods.
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Abstract (Original Language): 
Elektroensefalogram (EEG) işareti, beyindeki elektriksel aktivite hakkında bilgi edinmek amacıyla yaygın olarak kullanılmaktadır. Bu çalışmada, gözün açık ve kapalı durumunda EEG de görülen değişimin güç spektral yoğunluğu (GSY) incelenmiş olup, frekans değişiminin hangi aralıkta etkin olduğu farklı yaklaşımlar ile kabaca belirlenmiştir. Belirlenme sürecinde dalgacık yöntemi (DD) kullanılarak, işaret alt bandlarına ayrıştırılmıştır. GSY tahmini için klasik yöntemlerden Welch metodu ile işaret modelleme sürecini kullanan parametrik yöntemlerden Burg ve Yule-Walker yöntemleri kullanılmıştır. Gözler açık durumuna göre gözler kapalı iken EEG’de alfa ritminde yer alan frekansların baskın olduğu görülmüştür. Güç spektral yoğunluk hesabında, parametrik yöntemler ile işaretlerdeki var olan farklılıkların daha belirgin görülebilmesine olanak sağladığı görülmüştür
FULL TEXT (PDF): 
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  • Turkish

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https://archive.ics.uci.edu/ml/datasets/
EEG+Eye+State#

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