Automated Sleep Stage Scoring Using Hybrid Rule- and Case-Based Reasoning
✍ Scribed by Hae-Jeong Park; Jung-Su Oh; Do-Un Jeong; Kwang-Suk Park
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 350 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0010-4809
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✦ Synopsis
We propose an automated method for sleep stage scoring using hybrid rule-and casebased 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.