Simulation of human hypnograms using a Markov chain model

A Markov chain model has been proposed as a mechanism that generates human sleep stages. A method for estimating the parameters of the model, i.e., the transition probabilities (rates) between sleep stages, has been introduced and applied to 95 hypnograms taken from 23 subjects. The rates characteri...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Sleep (New York, N.Y.) N.Y.), 1986-01, Vol.9 (3), p.405-414
Hauptverfasser: KEMP, B, KAMPHUISEN, H. A. C
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 414
container_issue 3
container_start_page 405
container_title Sleep (New York, N.Y.)
container_volume 9
creator KEMP, B
KAMPHUISEN, H. A. C
description A Markov chain model has been proposed as a mechanism that generates human sleep stages. A method for estimating the parameters of the model, i.e., the transition probabilities (rates) between sleep stages, has been introduced and applied to 95 hypnograms taken from 23 subjects. The rates characterize interindividual differences and nightly variations of the sleep mechanism, related to sleep-onset behavior, to the decreasing amount of slow wave sleep in the course of the night, and to the REM-NREM periodicity. The model simulates both probabilistic and the above-mentioned predictable dynamics of sleep, but only if these time-varying, individual rates are applied.
doi_str_mv 10.1093/sleep/9.3.405
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_77069944</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>14592132</sourcerecordid><originalsourceid>FETCH-LOGICAL-c387t-da274109986474f205f4e40f0f3fd202dbd8b8cebed77e2dcbea53f0b6798f013</originalsourceid><addsrcrecordid>eNqFkDtPwzAUhS0EKqUwMiJ5QGxp_Upsj6jiJRUxALPl-NEGkjjYDVL_PYFGXZmujs6no6sPgEuM5hhJuki1c91CzumcofwITHGeo0wO1TGYIlzgTGCUn4KzlD7QkJmkEzChvGBEiCmQr1XT13pbhRYGDzd9o1u42XVtWEfdJNinql1DDZ91_Azf0Gx01cImWFefgxOv6-QuxjsD7_d3b8vHbPXy8LS8XWWGCr7NrCacDd9IUTDOPEG5Z44hjzz1liBiSytKYVzpLOeOWFM6nVOPyoJL4RGmM3Cz3-1i-Opd2qqmSsbVtW5d6JPiHBVSMvYviFkuCaZkALM9aGJIKTqvulg1Ou4URurXqfpzqqSianA68FfjcF82zh7oUeLQX4-9TkbXPurWVOmAcSk5F5L-AFcTf2w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>14592132</pqid></control><display><type>article</type><title>Simulation of human hypnograms using a Markov chain model</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><creator>KEMP, B ; KAMPHUISEN, H. A. C</creator><creatorcontrib>KEMP, B ; KAMPHUISEN, H. A. C</creatorcontrib><description>A Markov chain model has been proposed as a mechanism that generates human sleep stages. A method for estimating the parameters of the model, i.e., the transition probabilities (rates) between sleep stages, has been introduced and applied to 95 hypnograms taken from 23 subjects. The rates characterize interindividual differences and nightly variations of the sleep mechanism, related to sleep-onset behavior, to the decreasing amount of slow wave sleep in the course of the night, and to the REM-NREM periodicity. The model simulates both probabilistic and the above-mentioned predictable dynamics of sleep, but only if these time-varying, individual rates are applied.</description><identifier>ISSN: 0161-8105</identifier><identifier>EISSN: 1550-9109</identifier><identifier>DOI: 10.1093/sleep/9.3.405</identifier><identifier>PMID: 3764288</identifier><identifier>CODEN: SLEED6</identifier><language>eng</language><publisher>Rochester, MN: American Academy of Sleep Medicine</publisher><subject>Biological and medical sciences ; Fundamental and applied biological sciences. Psychology ; Humans ; Markov Chains ; Models, Biological ; Probability ; Sleep - physiology ; Sleep. Vigilance ; Vertebrates: nervous system and sense organs</subject><ispartof>Sleep (New York, N.Y.), 1986-01, Vol.9 (3), p.405-414</ispartof><rights>1987 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c387t-da274109986474f205f4e40f0f3fd202dbd8b8cebed77e2dcbea53f0b6798f013</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=7997789$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/3764288$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>KEMP, B</creatorcontrib><creatorcontrib>KAMPHUISEN, H. A. C</creatorcontrib><title>Simulation of human hypnograms using a Markov chain model</title><title>Sleep (New York, N.Y.)</title><addtitle>Sleep</addtitle><description>A Markov chain model has been proposed as a mechanism that generates human sleep stages. A method for estimating the parameters of the model, i.e., the transition probabilities (rates) between sleep stages, has been introduced and applied to 95 hypnograms taken from 23 subjects. The rates characterize interindividual differences and nightly variations of the sleep mechanism, related to sleep-onset behavior, to the decreasing amount of slow wave sleep in the course of the night, and to the REM-NREM periodicity. The model simulates both probabilistic and the above-mentioned predictable dynamics of sleep, but only if these time-varying, individual rates are applied.</description><subject>Biological and medical sciences</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Humans</subject><subject>Markov Chains</subject><subject>Models, Biological</subject><subject>Probability</subject><subject>Sleep - physiology</subject><subject>Sleep. Vigilance</subject><subject>Vertebrates: nervous system and sense organs</subject><issn>0161-8105</issn><issn>1550-9109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1986</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkDtPwzAUhS0EKqUwMiJ5QGxp_Upsj6jiJRUxALPl-NEGkjjYDVL_PYFGXZmujs6no6sPgEuM5hhJuki1c91CzumcofwITHGeo0wO1TGYIlzgTGCUn4KzlD7QkJmkEzChvGBEiCmQr1XT13pbhRYGDzd9o1u42XVtWEfdJNinql1DDZ91_Azf0Gx01cImWFefgxOv6-QuxjsD7_d3b8vHbPXy8LS8XWWGCr7NrCacDd9IUTDOPEG5Z44hjzz1liBiSytKYVzpLOeOWFM6nVOPyoJL4RGmM3Cz3-1i-Opd2qqmSsbVtW5d6JPiHBVSMvYviFkuCaZkALM9aGJIKTqvulg1Ou4URurXqfpzqqSianA68FfjcF82zh7oUeLQX4-9TkbXPurWVOmAcSk5F5L-AFcTf2w</recordid><startdate>19860101</startdate><enddate>19860101</enddate><creator>KEMP, B</creator><creator>KAMPHUISEN, H. A. C</creator><general>American Academy of Sleep Medicine</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>7X8</scope></search><sort><creationdate>19860101</creationdate><title>Simulation of human hypnograms using a Markov chain model</title><author>KEMP, B ; KAMPHUISEN, H. A. C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c387t-da274109986474f205f4e40f0f3fd202dbd8b8cebed77e2dcbea53f0b6798f013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1986</creationdate><topic>Biological and medical sciences</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Humans</topic><topic>Markov Chains</topic><topic>Models, Biological</topic><topic>Probability</topic><topic>Sleep - physiology</topic><topic>Sleep. Vigilance</topic><topic>Vertebrates: nervous system and sense organs</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>KEMP, B</creatorcontrib><creatorcontrib>KAMPHUISEN, H. A. C</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Sleep (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KEMP, B</au><au>KAMPHUISEN, H. A. C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simulation of human hypnograms using a Markov chain model</atitle><jtitle>Sleep (New York, N.Y.)</jtitle><addtitle>Sleep</addtitle><date>1986-01-01</date><risdate>1986</risdate><volume>9</volume><issue>3</issue><spage>405</spage><epage>414</epage><pages>405-414</pages><issn>0161-8105</issn><eissn>1550-9109</eissn><coden>SLEED6</coden><abstract>A Markov chain model has been proposed as a mechanism that generates human sleep stages. A method for estimating the parameters of the model, i.e., the transition probabilities (rates) between sleep stages, has been introduced and applied to 95 hypnograms taken from 23 subjects. The rates characterize interindividual differences and nightly variations of the sleep mechanism, related to sleep-onset behavior, to the decreasing amount of slow wave sleep in the course of the night, and to the REM-NREM periodicity. The model simulates both probabilistic and the above-mentioned predictable dynamics of sleep, but only if these time-varying, individual rates are applied.</abstract><cop>Rochester, MN</cop><pub>American Academy of Sleep Medicine</pub><pmid>3764288</pmid><doi>10.1093/sleep/9.3.405</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0161-8105
ispartof Sleep (New York, N.Y.), 1986-01, Vol.9 (3), p.405-414
issn 0161-8105
1550-9109
language eng
recordid cdi_proquest_miscellaneous_77069944
source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection
subjects Biological and medical sciences
Fundamental and applied biological sciences. Psychology
Humans
Markov Chains
Models, Biological
Probability
Sleep - physiology
Sleep. Vigilance
Vertebrates: nervous system and sense organs
title Simulation of human hypnograms using a Markov chain model
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T13%3A40%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Simulation%20of%20human%20hypnograms%20using%20a%20Markov%20chain%20model&rft.jtitle=Sleep%20(New%20York,%20N.Y.)&rft.au=KEMP,%20B&rft.date=1986-01-01&rft.volume=9&rft.issue=3&rft.spage=405&rft.epage=414&rft.pages=405-414&rft.issn=0161-8105&rft.eissn=1550-9109&rft.coden=SLEED6&rft_id=info:doi/10.1093/sleep/9.3.405&rft_dat=%3Cproquest_cross%3E14592132%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=14592132&rft_id=info:pmid/3764288&rfr_iscdi=true