A computerized method for detecting episodes of wakefulness during sleep based on the alpha slow-wave index (ASI)
A method for the automatic detection of episodes of wakefulness during sleep is presented. The algorithm is based on the evaluation of the alpha slow-wave index (ASI), a measure that has been developed to detect fluctuations of vigilance in daytime pharmaco-electroencephalogram studies. Its applicat...
Gespeichert in:
| Veröffentlicht in: | Sleep (New York, N.Y.) N.Y.), 1994-02, Vol.17 (1), p.37-46 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 46 |
|---|---|
| container_issue | 1 |
| container_start_page | 37 |
| container_title | Sleep (New York, N.Y.) |
| container_volume | 17 |
| creator | JOBERT, M SCHULZ, H JÄHNING, P TISMER, C BES, F ESCOLA, H |
| description | A method for the automatic detection of episodes of wakefulness during sleep is presented. The algorithm is based on the evaluation of the alpha slow-wave index (ASI), a measure that has been developed to detect fluctuations of vigilance in daytime pharmaco-electroencephalogram studies. Its application to sleep data was validated with polysomnographic recordings from 16 elderly insomniacs and 16 young healthy subjects. The rate of agreement between the computerized procedure and the visual scoring of wakefulness was 94.0% for the insomniacs and 96.9% for the healthy subjects. The decision criterion used by the computer allowed the definition of a subject-adapted threshold for the detection of wake episodes. The method opens new perspectives for the automatic analysis of continuous 24-hour sleep-wake recordings. |
| doi_str_mv | 10.1093/sleep/17.1.37 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_76507550</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>76507550</sourcerecordid><originalsourceid>FETCH-LOGICAL-c387t-ebc5f1f8139be4c26d4a7ac1be32576cf40960e32f4110654c99d32eed7ae1203</originalsourceid><addsrcrecordid>eNqFkUtv3CAURlHUKp08lllWYlFV6cITrrHBLEdRH5EiddFmjTBcMm5t44DdafrrSyajbLNCV-fwiftByAWwNTDFr1KPOF2BXMOayyOygrpmhcroDVkxEFA0wOp35CSlXyzPleLH5LgBBSWDFXnYUBuGaZkxdv_Q0QHnbXDUh0gdzmjnbrynOHUpOEw0eLozv9Ev_YgpUbfEJ7x_AW1NyvfDSOctUtNPW5NB2BU78wdpNzr8Sy83P24-nZG33vQJzw_nKbn78vnn9bfi9vvXm-vNbWF5I-cCW1t78A1w1WJlS-EqI42FFnlZS2F9xZRgefAVABN1ZZVyvER00mDejZ-Sj8-5UwwPC6ZZD12y2PdmxLAkLUXNZO7qVRGEqEqxTyyeRRtDShG9nmI3mPiogemnv9D7JjRIDZrL7L8_BC_tgO7FPpSf-YcDN8ma3kcz2i69aFw1shaK_wcNFJL6</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>16642620</pqid></control><display><type>article</type><title>A computerized method for detecting episodes of wakefulness during sleep based on the alpha slow-wave index (ASI)</title><source>MEDLINE</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>JOBERT, M ; SCHULZ, H ; JÄHNING, P ; TISMER, C ; BES, F ; ESCOLA, H</creator><creatorcontrib>JOBERT, M ; SCHULZ, H ; JÄHNING, P ; TISMER, C ; BES, F ; ESCOLA, H</creatorcontrib><description>A method for the automatic detection of episodes of wakefulness during sleep is presented. The algorithm is based on the evaluation of the alpha slow-wave index (ASI), a measure that has been developed to detect fluctuations of vigilance in daytime pharmaco-electroencephalogram studies. Its application to sleep data was validated with polysomnographic recordings from 16 elderly insomniacs and 16 young healthy subjects. The rate of agreement between the computerized procedure and the visual scoring of wakefulness was 94.0% for the insomniacs and 96.9% for the healthy subjects. The decision criterion used by the computer allowed the definition of a subject-adapted threshold for the detection of wake episodes. The method opens new perspectives for the automatic analysis of continuous 24-hour sleep-wake recordings.</description><identifier>ISSN: 0161-8105</identifier><identifier>ISSN: 1550-9109</identifier><identifier>EISSN: 1550-9109</identifier><identifier>DOI: 10.1093/sleep/17.1.37</identifier><identifier>PMID: 8191201</identifier><identifier>CODEN: SLEED6</identifier><language>eng</language><publisher>Rochester, MN: American Academy of Sleep Medicine</publisher><subject>Aged ; Alpha Rhythm ; Biological and medical sciences ; Female ; Fundamental and applied biological sciences. Psychology ; Humans ; Male ; Middle Aged ; Sleep - physiology ; Sleep Initiation and Maintenance Disorders - physiopathology ; Sleep. Vigilance ; Vertebrates: nervous system and sense organs ; Wakefulness - physiology</subject><ispartof>Sleep (New York, N.Y.), 1994-02, Vol.17 (1), p.37-46</ispartof><rights>1994 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c387t-ebc5f1f8139be4c26d4a7ac1be32576cf40960e32f4110654c99d32eed7ae1203</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=3987569$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/8191201$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>JOBERT, M</creatorcontrib><creatorcontrib>SCHULZ, H</creatorcontrib><creatorcontrib>JÄHNING, P</creatorcontrib><creatorcontrib>TISMER, C</creatorcontrib><creatorcontrib>BES, F</creatorcontrib><creatorcontrib>ESCOLA, H</creatorcontrib><title>A computerized method for detecting episodes of wakefulness during sleep based on the alpha slow-wave index (ASI)</title><title>Sleep (New York, N.Y.)</title><addtitle>Sleep</addtitle><description>A method for the automatic detection of episodes of wakefulness during sleep is presented. The algorithm is based on the evaluation of the alpha slow-wave index (ASI), a measure that has been developed to detect fluctuations of vigilance in daytime pharmaco-electroencephalogram studies. Its application to sleep data was validated with polysomnographic recordings from 16 elderly insomniacs and 16 young healthy subjects. The rate of agreement between the computerized procedure and the visual scoring of wakefulness was 94.0% for the insomniacs and 96.9% for the healthy subjects. The decision criterion used by the computer allowed the definition of a subject-adapted threshold for the detection of wake episodes. The method opens new perspectives for the automatic analysis of continuous 24-hour sleep-wake recordings.</description><subject>Aged</subject><subject>Alpha Rhythm</subject><subject>Biological and medical sciences</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Sleep - physiology</subject><subject>Sleep Initiation and Maintenance Disorders - physiopathology</subject><subject>Sleep. Vigilance</subject><subject>Vertebrates: nervous system and sense organs</subject><subject>Wakefulness - physiology</subject><issn>0161-8105</issn><issn>1550-9109</issn><issn>1550-9109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUtv3CAURlHUKp08lllWYlFV6cITrrHBLEdRH5EiddFmjTBcMm5t44DdafrrSyajbLNCV-fwiftByAWwNTDFr1KPOF2BXMOayyOygrpmhcroDVkxEFA0wOp35CSlXyzPleLH5LgBBSWDFXnYUBuGaZkxdv_Q0QHnbXDUh0gdzmjnbrynOHUpOEw0eLozv9Ev_YgpUbfEJ7x_AW1NyvfDSOctUtNPW5NB2BU78wdpNzr8Sy83P24-nZG33vQJzw_nKbn78vnn9bfi9vvXm-vNbWF5I-cCW1t78A1w1WJlS-EqI42FFnlZS2F9xZRgefAVABN1ZZVyvER00mDejZ-Sj8-5UwwPC6ZZD12y2PdmxLAkLUXNZO7qVRGEqEqxTyyeRRtDShG9nmI3mPiogemnv9D7JjRIDZrL7L8_BC_tgO7FPpSf-YcDN8ma3kcz2i69aFw1shaK_wcNFJL6</recordid><startdate>19940201</startdate><enddate>19940201</enddate><creator>JOBERT, M</creator><creator>SCHULZ, H</creator><creator>JÄHNING, P</creator><creator>TISMER, C</creator><creator>BES, F</creator><creator>ESCOLA, H</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>19940201</creationdate><title>A computerized method for detecting episodes of wakefulness during sleep based on the alpha slow-wave index (ASI)</title><author>JOBERT, M ; SCHULZ, H ; JÄHNING, P ; TISMER, C ; BES, F ; ESCOLA, H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c387t-ebc5f1f8139be4c26d4a7ac1be32576cf40960e32f4110654c99d32eed7ae1203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Aged</topic><topic>Alpha Rhythm</topic><topic>Biological and medical sciences</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Sleep - physiology</topic><topic>Sleep Initiation and Maintenance Disorders - physiopathology</topic><topic>Sleep. Vigilance</topic><topic>Vertebrates: nervous system and sense organs</topic><topic>Wakefulness - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>JOBERT, M</creatorcontrib><creatorcontrib>SCHULZ, H</creatorcontrib><creatorcontrib>JÄHNING, P</creatorcontrib><creatorcontrib>TISMER, C</creatorcontrib><creatorcontrib>BES, F</creatorcontrib><creatorcontrib>ESCOLA, H</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>JOBERT, M</au><au>SCHULZ, H</au><au>JÄHNING, P</au><au>TISMER, C</au><au>BES, F</au><au>ESCOLA, H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A computerized method for detecting episodes of wakefulness during sleep based on the alpha slow-wave index (ASI)</atitle><jtitle>Sleep (New York, N.Y.)</jtitle><addtitle>Sleep</addtitle><date>1994-02-01</date><risdate>1994</risdate><volume>17</volume><issue>1</issue><spage>37</spage><epage>46</epage><pages>37-46</pages><issn>0161-8105</issn><issn>1550-9109</issn><eissn>1550-9109</eissn><coden>SLEED6</coden><abstract>A method for the automatic detection of episodes of wakefulness during sleep is presented. The algorithm is based on the evaluation of the alpha slow-wave index (ASI), a measure that has been developed to detect fluctuations of vigilance in daytime pharmaco-electroencephalogram studies. Its application to sleep data was validated with polysomnographic recordings from 16 elderly insomniacs and 16 young healthy subjects. The rate of agreement between the computerized procedure and the visual scoring of wakefulness was 94.0% for the insomniacs and 96.9% for the healthy subjects. The decision criterion used by the computer allowed the definition of a subject-adapted threshold for the detection of wake episodes. The method opens new perspectives for the automatic analysis of continuous 24-hour sleep-wake recordings.</abstract><cop>Rochester, MN</cop><pub>American Academy of Sleep Medicine</pub><pmid>8191201</pmid><doi>10.1093/sleep/17.1.37</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0161-8105 |
| ispartof | Sleep (New York, N.Y.), 1994-02, Vol.17 (1), p.37-46 |
| issn | 0161-8105 1550-9109 1550-9109 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_76507550 |
| source | MEDLINE; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Aged Alpha Rhythm Biological and medical sciences Female Fundamental and applied biological sciences. Psychology Humans Male Middle Aged Sleep - physiology Sleep Initiation and Maintenance Disorders - physiopathology Sleep. Vigilance Vertebrates: nervous system and sense organs Wakefulness - physiology |
| title | A computerized method for detecting episodes of wakefulness during sleep based on the alpha slow-wave index (ASI) |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T05%3A32%3A01IST&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=A%20computerized%20method%20for%20detecting%20episodes%20of%20wakefulness%20during%20sleep%20based%20on%20the%20alpha%20slow-wave%20index%20(ASI)&rft.jtitle=Sleep%20(New%20York,%20N.Y.)&rft.au=JOBERT,%20M&rft.date=1994-02-01&rft.volume=17&rft.issue=1&rft.spage=37&rft.epage=46&rft.pages=37-46&rft.issn=0161-8105&rft.eissn=1550-9109&rft.coden=SLEED6&rft_id=info:doi/10.1093/sleep/17.1.37&rft_dat=%3Cproquest_cross%3E76507550%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=16642620&rft_id=info:pmid/8191201&rfr_iscdi=true |