Blind source separation for ambulatory sleep recording

Author

Porée, Fabienne ; Kachenoura, Amar ; Gauvrit, Hervé ; Morvan, Catherine ; Carrault, Guy ; Senhadji, Lotfi

Author_Institution

INSERM, Univ. de Rennes

Volume

10

Issue

2

fYear

2006

fDate

4/1/2006 12:00:00 AM

Firstpage

293

Lastpage

301

Abstract

This paper deals with the conception of a new system for sleep staging in ambulatory conditions. Sleep recording is performed by means of five electrodes: two temporal, two frontal and a reference. This configuration enables to avoid the chin area to enhance the quality of the muscular signal and the hair region for patient convenience. The electroencephalopgram (EEG), eletromyogram (EMG), and elctrooculogram (EOG) signals are separated using the Independent Component Analysis approach. The system is compared to a standard sleep analysis system using polysomnographic recordings of 14 patients. The overall concordance of 67.2% is achieved between the two systems. Based on the validation results and the computational efficiency we recommend the clinical use of the proposed system in a commercial sleep analysis platform

Keywords

biomedical electrodes; blind source separation; electro-oculography; electroencephalography; electromyography; independent component analysis; medical signal processing; neurophysiology; sleep; EEG; EMG; EOG; SAS; ambulatory sleep recording; blind source separation; electroencephalopgram; electromyogram; electrooculogram; frontal electrodes; home recording; independent component analysis; muscular signal; polysomnographic recording; reference electrodes; sleep analysis system; sleep apnea syndrome; sleep disorder; sleep staging; temporal electrodes; Blind source separation; Electrocardiography; Electroencephalography; Electromyography; Electrooculography; Independent component analysis; Laboratories; Maximum likelihood detection; Sleep apnea; Synthetic aperture sonar; Ambulatory recording; blind source separation; electrocardiogram (ECG); electroencephalogram (EEG); electromyogram (EMG); electrooculogram (EOG); home recording; independent component analysis (ICA); polysomnography; sleep analysis; sleep apnea syndrome (SAS); sleep disorders; sleep staging;

fLanguage

English

Journal_Title

Information Technology in Biomedicine, IEEE Transactions on

Publisher

ieee

ISSN

1089-7771

Type

jour

DOI

10.1109/TITB.2005.859878

Filename

1613955