Expert Knowledge-Based Automatic Sleep Stage Determination by Multi-Valued Decision Making Method
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概要
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In this study, an expert knowledge-based automatic sleep stage determination system working on a multi-valued decision making method is developed. Visual inspection by a qualified clinician is adopted to obtain the expert knowledge database. The expert knowledge database consists of probability density functions of parameters for various sleep stages. Sleep stages are determined automatically according to the conditional probability. Totally, four subjects were participated. The automatic sleep stage determination results showed close agreements with the visual inspection on sleep stages of awake, REM (rapid eye movement), light sleep and deep sleep. The constructed expert knowledge database reflects the distributions of characteristic parameters which can be adaptive to variable sleep data in hospitals. The developed automatic determination technique based on expert knowledge of visual inspection can be an assistant tool enabling further inspection of sleep disorder cases for clinical practice.
- 2009-04-01
著者
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Nakamura Masatoshi
Department of Pediatric Surgery, Reproductive and Developmental Medicine, Graduate School of Medical
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Sugi Takenao
Department Of Advanced Systems Control Engineering Saga University
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Kawana Fusae
Department Of Clinical Physiology Toranomon Hospital
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Wang Bei
Department Of Automation East China University Of Science And Technology
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WANG Xingyu
Department of Automation, School of Information Science and Engineering, East China University of Sc
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Wang Xingyu
Department Of Automation East China University Of Science And Technology
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Nakamura Masatoshi
Department Of Advanced Systems Control Engineering Saga University
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Nakamura Masatoshi
Department Of Advanced Systems Control Engineering Graduate School Of Science And Engineering Saga U
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