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Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
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Sensors and Materials, Volume 20, Number 1 (2008)
Copyright(C) MYU K.K.
pp. 1-14
S&M701 Research Paper
https://doi.org/10.18494/SAM.2008.478
Published: February 29, 2008

Analysis of Brain Function and Classification of Sleep Stage EEG using Daubechies Wavelet [PDF]

Min Soo Kim, Young Chang Cho, Abibullaev Berdakh and Hee Don Seo

(Received March 20, 2007; Accepted September 3, 2007)

Keywords: Daubechies wavelet, sleep electroencephalograms, sleep stages, mental tasks, brain computer interface (BCI), cognitive mental state

Recently, wavelet transforms have been applied to various problems in many fields. In this paper, we propose the application of the Daubechies wavelet to the detection of several important characteristic waves in electroencephalograms (EEGs), which are used to diagnose sleep stages and cognitive mental tasks. Sleep staging is one of the most important tasks in EEG diagnosis. However, it can be subjective as it depends on the doctor’s skill and is omit labor-intensive. In this regard, the development of an automatic diagnosis system is imperative in order to reduce the doctor’s workload and to provide an accurate quantitative diagnosis of sleep stage EEGs. The method proposed in this paper is an important base for understanding subjects’ cognitive state. Experimental results obtained using the implemented system demonstrate that this approach could reduce the doctor’s workload and provide an accurate diagnosis of brain functions.

Corresponding author: Hee Don Seo


Cite this article
Min Soo Kim, Young Chang Cho, Abibullaev Berdakh and Hee Don Seo, Analysis of Brain Function and Classification of Sleep Stage EEG using Daubechies Wavelet, Sens. Mater., Vol. 20, No. 1, 2008, p. 1-14.



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