Using the wavelet packet transform in automatic sleep analysis Conference Paper

abstract

• The unavailability of an accurate and robust automatic sleep analyzer has hindered sleep researchers in understanding sleep and its effects. During the last few decades, different EEG signal processing techniques have been applied to develop an automated sleep stage classification system. In this paper we will discuss the innovative spectral analysis techniques, specifically time-frequency techniques, which have been applied to sleep staging with some success. In this paper we will discuss the application of the wavelet packet (WP) transform on sleep EEG for the detection of sleep spindles. The results obtained from our study will be presented and the suitability of the WP transform for the identification of sleep spindles discussed. 2009 Springer Berlin Heidelberg.

authors

• Tafreshi, Reza

published proceedings

• 4TH EUROPEAN CONFERENCE OF THE INTERNATIONAL FEDERATION FOR MEDICAL AND BIOLOGICAL ENGINEERING

author list (cited authors)

• Ahmed, B., & Tafreshi, R.

citation count

• 0

complete list of authors

• Ahmed, Beena||Tafreshi, Reza

publication date

• December 2009

publisher

• Springer Nature  Publisher

published in

• IFMBE proceedings  Journal

keywords

• Sleep Analysis
• Sleep Classification
• Sleep Eeg
• Sleep Spindles

Digital Object Identifier (DOI)

• 10.1007/978-3-540-89208-3_94

International Standard Book Number (ISBN) 13

• 9783540892076

start page

• 397

end page

• 401

volume

• 22

issue

• 1-3

URL

• http://dx.doi.org/10.1007/978-3-540-89208-3_94