Expert Knowledge-based Sleep Stage Determination by Conditional Probability Integrated with Amendment Function
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概要
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An expert knowledge-based method integrated with amendment function is presented in order to develop an effective automatic sleep stage determination technique for clinical practice. The main methodology is based on the expert knowledge of visual inspection by qualified clinician. A knowledge database is consisting of probability density functions of parameters for various sleep stages. The sleep stage is decided automatically based on conditional probability. An amendment process is developed to modify the decision on sleep stages. We applied the methodology to the sleep data of patients with sleep disorder under usual recording condition in hospital. The determination result was satisfactory. With the amendment function, the determination system showed better performance on stage change and continuity detection. The developed expert knowledge-based method can be an assistant tool for clinics.
- 2008-12-10
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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