Automated polysomnogram artifact compensation using the generalized singular value decomposition algorithm

Author

Fairley, Jacqueline ; Johnson, Ashley N. ; Georgoulas, George ; Vachtsevanos, George

Author_Institution

Sch. of Med., Dept. of Neurology, Emory Univ., Atlanta, GA, USA

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

5097

Lastpage

5100

Abstract

Manual/visual polysomnogram (psg) analysis is a standard and commonly implemented procedure utilized in the diagnosis and treatment of sleep related human pathologies. Current technological trends in psg analysis focus upon translating manual psg analysis into automated/computerized approaches. A necessary first step in establishing efficient automated human sleep analysis systems is the development of reliable pre-processing tools to discriminate between outlier/artifact instances and data of interest. This paper investigates the application of an automated approach, using the generalized singular value decomposition algorithm, to compensate for specific psg artifacts.

Keywords

diseases; electro-oculography; electroencephalography; electromyography; medical signal processing; neurophysiology; singular value decomposition; sleep; EEG; automated artifact compensation; automated human sleep analysis systems; electrode; electromyogram; electrooculogram; generalized singular value decomposition algorithm; human pathologies; polysomnogram; Correlation; Electroencephalography; Electromyography; Electrooculography; Noise; Sleep; Algorithms; Artifacts; Automatic Data Processing; Humans; Polysomnography; Time Factors;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5626213

Filename

5626213