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

M. Iqbal Tawakal, M. Eka Suryana, Ari Noviyanto, I. Putu Satwika, M. Sakti Alvissalim, Indra Hermawan, Sani M. Isa, Wisnu Jatmiko

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings
Pages197-202
Number of pages6
Publication statusPublished - 1 Dec 2012
Event2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Depok, Indonesia
Duration: 1 Dec 20122 Dec 2012

Publication series

Name2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings

Conference

Conference2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012
Country/TerritoryIndonesia
CityDepok
Period1/12/122/12/12

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