Sleep onset estimator: Evaluation of parameters

Author

Cvetkovic, Dean ; Cosic, Irena

Author_Institution

RMIT University, School of Electrical and Computer Engineering, GPO Box 2476V, Melbourne, VIC 3001, Australia

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

3860

Lastpage

3863

Abstract

The electroencephalographic (EEG) alterations during the human sleep onset (falling asleep period) has been evaluated by several studies in the past. However, the analysis part has been limited due to standard signal processing methods. This paper has attempted to evaluate a number of advanced parameters for improved sleep onset estimation, such as EEG non-parametric coherence, power frequency and spectral band power. These parameters can be utilised in an on-line algorithm design for neurofeedback applications.

Keywords

Australia; Electrodes; Electroencephalography; Frequency estimation; Humans; Parameter estimation; Power engineering and energy; Signal processing algorithms; Sleep; Spectral analysis; Adult; Algorithms; Biofeedback (Psychology); Brain Mapping; Electroencephalography; Humans; Male; Regression Analysis; Signal Processing, Computer-Assisted; Sleep Stages; Sleep, REM; Software; Time Factors; Time Perception; Wakefulness;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4650052

Filename

4650052