Automated sleep stage scoring using hybrid rule- and case-based reasoning

Hae Jeong Park, Jung Su Oh, Do Un Jeong, Kwangsuk Park

Research output: Contribution to journalArticleResearchpeer-review

54 Citations (Scopus)

Abstract

We propose an automated method for sleep stage scoring using hybrid rule- and case-based reasoning. The system first performs rule-based sleep stage scoring, according to the Rechtschaffen and Kale's sleep-scoring rule (1968), and then supplements the scoring with case-based reasoning. This method comprises signal processing unit, rule-based scoring unit, and case-based scoring unit. We applied this methodology to three recordings of normal sleep and three recordings of obstructive sleep apnea (OSA). Average agreement rate in normal recordings was 87.5% and case-based scoring enhanced the agreement rate by 5.6%. This architecture showed several advantages over the other analytical approaches in sleep scoring: high performance on sleep disordered recordings, the explanation facility, and the learning ability. The results suggest that combination of rule-based reasoning and case-based reasoning is promising for an automated sleep scoring and it is also considered to be a good model of the cognitive scoring process. (C) 2000 Academic Press.

Original languageEnglish
Pages (from-to)330-349
Number of pages20
JournalComputers and Biomedical Research
Volume33
Issue number5
DOIs
StatePublished - 1 Jan 2000

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Sleep Stages
Sleep
Aptitude
Brassica
Obstructive Sleep Apnea
Learning

Cite this

Park, Hae Jeong ; Oh, Jung Su ; Jeong, Do Un ; Park, Kwangsuk. / Automated sleep stage scoring using hybrid rule- and case-based reasoning. In: Computers and Biomedical Research. 2000 ; Vol. 33, No. 5. pp. 330-349.
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Automated sleep stage scoring using hybrid rule- and case-based reasoning. / Park, Hae Jeong; Oh, Jung Su; Jeong, Do Un; Park, Kwangsuk.

In: Computers and Biomedical Research, Vol. 33, No. 5, 01.01.2000, p. 330-349.

Research output: Contribution to journalArticleResearchpeer-review

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