A characterization of sleep spindles in EEG Conference Paper

abstract

• The absence of an accurate sleep spindle detector has hindered sleep researchers in understanding its role in sleep and its effect on the human body. In this paper, sleep spindles, marked by a neurologist, have been analyzed to develop a better understanding of its characteristic features and enable the development of a robust and reliable sleep spindle detector. As sleep spindles are characterized by high periodicity features useful in differentiating between periodic and non-periodic signals were investigated. The highest discrimination was found to be provided by the zero-crossing rate, mean peak to valley distance, autocorrelation coefficient and wavelet packet energy ratio. 2009 Springer-Verlag.

authors

• Tafreshi, Reza

published proceedings

• IFMBE Proceedings

author list (cited authors)

• Ahmed, B., Redissi, A., & Tafreshi, R.

complete list of authors

• Ahmed, B||Redissi, A||Tafreshi, R

publication date

• December 2009

published in

• IFMBE proceedings  Journal

Digital Object Identifier (DOI)

• 10.1007/978-3-642-03885-3-186

International Standard Book Number (ISBN) 13

• 9783642038846

start page

• 671

end page

• 674

volume

• 25

issue

• 7