Expert Knowledge-Based Automatic Sleep Stage Determination by Multi-Valued Decision Making Method
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 dens...
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Veröffentlicht in: | Denki Gakkai ronbunshi. C, Erekutoronikusu, joho kogaku, shisutemu Information and Systems, 2009/04/01, Vol.129(4), pp.614-619 |
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container_title | Denki Gakkai ronbunshi. C, Erekutoronikusu, joho kogaku, shisutemu |
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creator | Wang, Bei Sugi, Takenao Kawana, Fusae Wang, Xingyu Nakamura, Masatoshi |
description | 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. |
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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.</description><identifier>ISSN: 0385-4221</identifier><identifier>EISSN: 1348-8155</identifier><identifier>DOI: 10.1541/ieejeiss.129.614</identifier><language>eng</language><publisher>Tokyo: The Institute of Electrical Engineers of Japan</publisher><subject>conditional probability ; expert knowledge database ; multi-valued decision making ; sleep stage determination ; visual inspection</subject><ispartof>IEEJ Transactions on Electronics, Information and Systems, 2009/04/01, Vol.129(4), pp.614-619</ispartof><rights>2009 by the Institute of Electrical Engineers of Japan</rights><rights>Copyright Japan Science and Technology Agency 2009</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5154-e63b9fb12dc2f323f26942681141c370b9a3433d96c6deb06f56f19ec38e6cc63</citedby><cites>FETCH-LOGICAL-c5154-e63b9fb12dc2f323f26942681141c370b9a3433d96c6deb06f56f19ec38e6cc63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,4025,27928,27929,27930</link.rule.ids></links><search><creatorcontrib>Wang, Bei</creatorcontrib><creatorcontrib>Sugi, Takenao</creatorcontrib><creatorcontrib>Kawana, Fusae</creatorcontrib><creatorcontrib>Wang, Xingyu</creatorcontrib><creatorcontrib>Nakamura, Masatoshi</creatorcontrib><title>Expert Knowledge-Based Automatic Sleep Stage Determination by Multi-Valued Decision Making Method</title><title>Denki Gakkai ronbunshi. 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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.</description><subject>conditional probability</subject><subject>expert knowledge database</subject><subject>multi-valued decision making</subject><subject>sleep stage determination</subject><subject>visual inspection</subject><issn>0385-4221</issn><issn>1348-8155</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNpdkDlPwzAYQC0EEuXYGSMhsaX4TjJCyyWoGAqsluN8KQ65sBMB_x5XLUiw2MP3no-H0AnBUyI4ObcAFVjvp4RmU0n4DpoQxtM4JULsoglmqYg5pWQfHXhfYcyY4HyC9NVnD26I7tvuo4ZiBfGl9lBEF-PQNXqwJlrWAH20HPQKojkM4BrbhkHXRvlXtBjrwcYvuh6DMwdj_Xqw0G-2XUULGF674gjtlbr2cLzdD9Hz9dXT7DZ-eLy5m108xEaED8QgWZ6VOaGFoSWjrKQy41SmhHBiWILzTDPOWJFJIwvIsSyFLEkGhqUgjZHsEJ1tzu1d9z6CH1RjvYG61i10o1cU80QmQgTw9B9YdaNrw9sUCTekWYJpEii8oYzrvHdQqt7ZRrsvRbBaF1c_xVUorkLxoFxvlMqva_0K2oWONfwV-HYN4i9gXrVT0LJvrbiPKQ</recordid><startdate>2009</startdate><enddate>2009</enddate><creator>Wang, Bei</creator><creator>Sugi, Takenao</creator><creator>Kawana, Fusae</creator><creator>Wang, Xingyu</creator><creator>Nakamura, Masatoshi</creator><general>The Institute of Electrical Engineers of Japan</general><general>Japan Science and Technology Agency</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7TK</scope></search><sort><creationdate>2009</creationdate><title>Expert Knowledge-Based Automatic Sleep Stage Determination by Multi-Valued Decision Making Method</title><author>Wang, Bei ; Sugi, Takenao ; Kawana, Fusae ; Wang, Xingyu ; Nakamura, Masatoshi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5154-e63b9fb12dc2f323f26942681141c370b9a3433d96c6deb06f56f19ec38e6cc63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>conditional probability</topic><topic>expert knowledge database</topic><topic>multi-valued decision making</topic><topic>sleep stage determination</topic><topic>visual inspection</topic><toplevel>online_resources</toplevel><creatorcontrib>Wang, Bei</creatorcontrib><creatorcontrib>Sugi, Takenao</creatorcontrib><creatorcontrib>Kawana, Fusae</creatorcontrib><creatorcontrib>Wang, Xingyu</creatorcontrib><creatorcontrib>Nakamura, Masatoshi</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Neurosciences Abstracts</collection><jtitle>Denki Gakkai ronbunshi. 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source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | conditional probability expert knowledge database multi-valued decision making sleep stage determination visual inspection |
title | Expert Knowledge-Based Automatic Sleep Stage Determination by Multi-Valued Decision Making Method |
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