Automatic Sleep Spindle Detection in Patients with Sleep Disorders

Author

Devuyst, S. ; Dutoit, T. ; Didier, JF ; Meers, F. ; Stanus, E. ; Stenuit, P. ; Kerkhofs, M.

Author_Institution

Fac. Polytech. de Mons, TCTS Lab., Mons

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

3883

Lastpage

3886

Abstract

In this paper, we present a new automatic method for sleep spindle detection. It consist of a generalisation of the Schimicek´s method [12] that takes more types of artefacts into account and uses variable thresholds regarding the statistical properties of the signal. Validity of our process is examined on the basis of visual spindle scoring performed by an expert. Results obtained are compared to those obtained by Schimicek´s method. For a specificity of 90%, we obtain a sensitivity of 76.9% while Schimicek´s method has a sensitivity of 70.4%. Moreover an increase of the area under the ROC curve is observed and confirms that the detection process is improved

Keywords

electroencephalography; neurophysiology; sensitivity analysis; sleep; statistical analysis; EEG recording; ROC curve; Schimicek´s method; automatic sleep spindle detection; sleep disorders; statistical properties; Cities and towns; Electroencephalography; Electrooculography; Frequency; Hospitals; Laboratories; Pathology; Sensitivity; Sleep; USA Councils;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.259298

Filename

4462647