Advances in Automatic Sleep Analysis Conference Paper

abstract

• In this paper we investigate the innovative spectral analysis techniques that have been used in sleep analysis with some success. A comparative analysis of these proposed classification techniques have been presented and the findings discussed. The paper identifies the problems faced in interpreting published results and performs an accurate comparison of different proposed systems. Future strategies to improve the performance of sleep analysis algorithms and novel signal processing tools suitable for sleep analysis are proposed.

authors

• Tafreshi, Reza

published proceedings

• 13TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING, VOLS 1-3

author list (cited authors)

• Ahmed, B., & Tafreshi, R.

citation count

• 5

complete list of authors

• Ahmed, B||Tafreshi, R

publication date

• December 2009

publisher

• Springer Nature  Publisher

published in

• IFMBE proceedings  Journal

keywords

• Automatic Sleep Analysis
• Eeg
• Sleep
• Sleep Classfication

Digital Object Identifier (DOI)

• 10.1007/978-3-540-92841-6_104

International Standard Book Number (ISBN) 13

• 978-3-540-92840-9

start page

• 422

end page

• 426

volume

• 23

issue

• 1-3

URL

• http://dx.doi.org/10.1007/978-3-540-92841-6_104