Analysis of multi codebook GLVQ versus standard GLVQ in discriminating sleep stages

Author

Tawakal, M. Iqbal ; Suryana, M.E. ; Noviyanto, Ary ; Satwika, I.P. ; Alvissalim, M.S. ; Hermawan, Indra ; Isa, Sani M. ; Jatmiko, Wisnu

Author_Institution

Fac. of Comput. Sci., Univ. Indonesia, Depok, Indonesia

fYear

2012

fDate

1-2 Dec. 2012

Firstpage

197

Lastpage

202

Abstract

Sleep is an essential phase in human circadian rhythm with importance in restoring human vigour and vitality. Conventional sleep examination is done using Polysomnography with many sensors connected to various parts of human body. Recently, research in sleep is geared toward alternative feasibility of using only ECG signal. In this research, sleep stages classification using only features derived from single-lead ECG is conducted. The capability of Generalized Learning Vector Quantization (GLVQ) in discriminating sleep stages is tested. We showed that GLVQ which is configured with multi codebooks shows promising result in discriminating complex sleep stages data.

Keywords

electrocardiography; learning (artificial intelligence); medical signal processing; sleep; ECG signal; generalized learning vector quantization; human circadian rhythm; human vigour; multi codebook GLVQ; polysomnography; single-lead ECG; sleep stages classification; standard GLVQ; Accuracy; Electrocardiography; Feature extraction; Heart rate variability; Sleep; Standards; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Science and Information Systems (ICACSIS), 2012 International Conference on

Conference_Location

Depok

Print_ISBN

978-1-4673-3026-8

Type

conf

Filename

6468760