Automated sleep stage scoring using hybrid rule- and case-based reasoning
Automated sleep stage scoring using hybrid rule- and case-based reasoning
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DOI：
10.1006/cbmr.2000.1549
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发表时间：
2000-10-01
期刊：
影响因子：
--
通讯作者：
Park, KS
中科院分区：
文献类型：
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作者：
Park, HJ;Oh, JS;Park, KS
我们提出了一种自动化的方法，睡眠阶段评分，使用混合规则和基于案例的推理。该系统首先根据Rechtschaffen和Kale的睡眠评分规则（1968年）执行基于规则的睡眠阶段评分，然后用基于案例的推理补充评分。该方法包括信号处理单元、基于规则的评分单元和基于案例的评分单元。我们将这种方法应用于正常睡眠的三个记录和阻塞性睡眠呼吸暂停（OSA）的三个记录。正常记录的平均符合率为87.5%，基于病例的评分提高了5.6%的符合率。这种架构在睡眠评分方面显示出优于其他分析方法的几个优势：对睡眠障碍记录的高性能，解释设施和学习能力。结果表明，基于规则的推理和基于案例的推理相结合是有前途的自动睡眠评分，它也被认为是一个很好的模型的认知评分过程。(C)北京大学出版社.
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.