Wake detection capacity of actigraphy during sleep
To evaluate the ability of actigraphy compared to polysomnography (PSG) to detect wakefulness in subjects submitted to 3 sleep conditions with different amounts of wakefulness: a nocturnal sleep episode and 2 daytime recovery sleep episodes, one with placebo and one with caffeine. A second objective...
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Veröffentlicht in: | Sleep (New York, N.Y.) N.Y.), 2007-10, Vol.30 (10), p.1362-1369 |
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creator | PAQUET, Jean KAWINSKA, Anna CARRIER, Julie |
description | To evaluate the ability of actigraphy compared to polysomnography (PSG) to detect wakefulness in subjects submitted to 3 sleep conditions with different amounts of wakefulness: a nocturnal sleep episode and 2 daytime recovery sleep episodes, one with placebo and one with caffeine. A second objective was to compare the ability of 4 different scoring algorithms (2 threshold algorithms and 2 regression analysis algorithms) to detect wake in the 3 sleep conditions.
Three nights of simultaneous actigraphy (Actiwatch-L, Mini-Mitter/Respironics) and PSG recordings in a within-subject design.
Chronobiology laboratory.
Fifteen healthy subjects aged between 20 and 60 years (7M, 8F).
200 mg of caffeine and daytime recovery sleep.
An epoch-by-epoch comparison between actigraphy and PSG showed a significant decrease in actigraphy accuracy with increased wakefulness in sleep conditions due to the low sleep specificity of actigraphy (generally |
doi_str_mv | 10.1093/sleep/30.10.1362 |
format | Article |
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Three nights of simultaneous actigraphy (Actiwatch-L, Mini-Mitter/Respironics) and PSG recordings in a within-subject design.
Chronobiology laboratory.
Fifteen healthy subjects aged between 20 and 60 years (7M, 8F).
200 mg of caffeine and daytime recovery sleep.
An epoch-by-epoch comparison between actigraphy and PSG showed a significant decrease in actigraphy accuracy with increased wakefulness in sleep conditions due to the low sleep specificity of actigraphy (generally <50%). Actigraphy overestimated total sleep time and sleep efficiency more strongly in conditions involving more wakefulness. Compared to the 2 regression algorithms, the 2 threshold algorithms were less able to detect wake when the sleep episode involved more wakefulness, and they tended to alternate more between wake and sleep in the scoring of long periods of wakefulness resulting in an overestimation of the number of awakenings.
The very low ability of actigraphy to detect wakefulness casts doubt on its validity to measure sleep quality in clinical populations with fragmented sleep or in situations where the sleep-wake cycle is challenged, such as jet lag and shift work.</description><identifier>ISSN: 0161-8105</identifier><identifier>EISSN: 1550-9109</identifier><identifier>DOI: 10.1093/sleep/30.10.1362</identifier><identifier>PMID: 17969470</identifier><identifier>CODEN: SLEED6</identifier><language>eng</language><publisher>Rochester, MN: American Academy of Sleep Medicine</publisher><subject>Adult ; Aged ; Analysis of Variance ; Behavioral psychophysiology ; Biological and medical sciences ; Circadian Rhythm - physiology ; Detection of Arousal and Wake ; Electrophysiology - instrumentation ; Female ; Fundamental and applied biological sciences. Psychology ; Humans ; Male ; Polysomnography - instrumentation ; Predictive Value of Tests ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Sleep - physiology ; Sleep Disorders, Circadian Rhythm - diagnosis ; Wakefulness - physiology ; Wrist - physiology</subject><ispartof>Sleep (New York, N.Y.), 2007-10, Vol.30 (10), p.1362-1369</ispartof><rights>2007 INIST-CNRS</rights><rights>2007 Associated Professional Sleep Societies, LLC. 2007</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c490t-f4c46b6e4127ddf065e42efb82ca8d6c997315f7b0bb9e2770c89c2f01071c823</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19159777$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17969470$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>PAQUET, Jean</creatorcontrib><creatorcontrib>KAWINSKA, Anna</creatorcontrib><creatorcontrib>CARRIER, Julie</creatorcontrib><title>Wake detection capacity of actigraphy during sleep</title><title>Sleep (New York, N.Y.)</title><addtitle>Sleep</addtitle><description>To evaluate the ability of actigraphy compared to polysomnography (PSG) to detect wakefulness in subjects submitted to 3 sleep conditions with different amounts of wakefulness: a nocturnal sleep episode and 2 daytime recovery sleep episodes, one with placebo and one with caffeine. A second objective was to compare the ability of 4 different scoring algorithms (2 threshold algorithms and 2 regression analysis algorithms) to detect wake in the 3 sleep conditions.
Three nights of simultaneous actigraphy (Actiwatch-L, Mini-Mitter/Respironics) and PSG recordings in a within-subject design.
Chronobiology laboratory.
Fifteen healthy subjects aged between 20 and 60 years (7M, 8F).
200 mg of caffeine and daytime recovery sleep.
An epoch-by-epoch comparison between actigraphy and PSG showed a significant decrease in actigraphy accuracy with increased wakefulness in sleep conditions due to the low sleep specificity of actigraphy (generally <50%). Actigraphy overestimated total sleep time and sleep efficiency more strongly in conditions involving more wakefulness. Compared to the 2 regression algorithms, the 2 threshold algorithms were less able to detect wake when the sleep episode involved more wakefulness, and they tended to alternate more between wake and sleep in the scoring of long periods of wakefulness resulting in an overestimation of the number of awakenings.
The very low ability of actigraphy to detect wakefulness casts doubt on its validity to measure sleep quality in clinical populations with fragmented sleep or in situations where the sleep-wake cycle is challenged, such as jet lag and shift work.</description><subject>Adult</subject><subject>Aged</subject><subject>Analysis of Variance</subject><subject>Behavioral psychophysiology</subject><subject>Biological and medical sciences</subject><subject>Circadian Rhythm - physiology</subject><subject>Detection of Arousal and Wake</subject><subject>Electrophysiology - instrumentation</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Humans</subject><subject>Male</subject><subject>Polysomnography - instrumentation</subject><subject>Predictive Value of Tests</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Sleep - physiology</subject><subject>Sleep Disorders, Circadian Rhythm - diagnosis</subject><subject>Wakefulness - physiology</subject><subject>Wrist - physiology</subject><issn>0161-8105</issn><issn>1550-9109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVUMtOwzAQtBCIhsKdE8qFY9r1I3Z8QUIVL6kSFxBHy3HsNpAmkZ0i9e9xH6JwWs3szKx2ELrGMMEg6TQ01vZTukUTTDk5QQnOc8hk3J6iBDDHWYEhH6GLED4hYibpORphIblkAhJEPvSXTSs7WDPUXZsa3WtTD5u0c6mO1MLrfrlJq7Wv20W6u3eJzpxugr06zDF6f3x4mz1n89enl9n9PDNMwpA5ZhgvuWWYiKpywHPLiHVlQYwuKm6kFBTnTpRQltISIcAU0hAHGAQ2BaFjdLfP7dflylbGtoPXjep9vdJ-ozpdq_-btl6qRfetCOGcCBoDYB9gfBeCt-7Xi0Ft-1O7fxSFHRH7i5abvzePhkNhUXB7EOhgdOO8bk0djjqJcymEoD-zmnq8</recordid><startdate>20071001</startdate><enddate>20071001</enddate><creator>PAQUET, Jean</creator><creator>KAWINSKA, Anna</creator><creator>CARRIER, Julie</creator><general>American Academy of Sleep Medicine</general><general>Associated Professional Sleep Societies, LLC</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>5PM</scope></search><sort><creationdate>20071001</creationdate><title>Wake detection capacity of actigraphy during sleep</title><author>PAQUET, Jean ; KAWINSKA, Anna ; CARRIER, Julie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c490t-f4c46b6e4127ddf065e42efb82ca8d6c997315f7b0bb9e2770c89c2f01071c823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Analysis of Variance</topic><topic>Behavioral psychophysiology</topic><topic>Biological and medical sciences</topic><topic>Circadian Rhythm - physiology</topic><topic>Detection of Arousal and Wake</topic><topic>Electrophysiology - instrumentation</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Humans</topic><topic>Male</topic><topic>Polysomnography - instrumentation</topic><topic>Predictive Value of Tests</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Sleep - physiology</topic><topic>Sleep Disorders, Circadian Rhythm - diagnosis</topic><topic>Wakefulness - physiology</topic><topic>Wrist - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>PAQUET, Jean</creatorcontrib><creatorcontrib>KAWINSKA, Anna</creatorcontrib><creatorcontrib>CARRIER, Julie</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>PubMed Central (Full Participant titles)</collection><jtitle>Sleep (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>PAQUET, Jean</au><au>KAWINSKA, Anna</au><au>CARRIER, Julie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Wake detection capacity of actigraphy during sleep</atitle><jtitle>Sleep (New York, N.Y.)</jtitle><addtitle>Sleep</addtitle><date>2007-10-01</date><risdate>2007</risdate><volume>30</volume><issue>10</issue><spage>1362</spage><epage>1369</epage><pages>1362-1369</pages><issn>0161-8105</issn><eissn>1550-9109</eissn><coden>SLEED6</coden><abstract>To evaluate the ability of actigraphy compared to polysomnography (PSG) to detect wakefulness in subjects submitted to 3 sleep conditions with different amounts of wakefulness: a nocturnal sleep episode and 2 daytime recovery sleep episodes, one with placebo and one with caffeine. A second objective was to compare the ability of 4 different scoring algorithms (2 threshold algorithms and 2 regression analysis algorithms) to detect wake in the 3 sleep conditions.
Three nights of simultaneous actigraphy (Actiwatch-L, Mini-Mitter/Respironics) and PSG recordings in a within-subject design.
Chronobiology laboratory.
Fifteen healthy subjects aged between 20 and 60 years (7M, 8F).
200 mg of caffeine and daytime recovery sleep.
An epoch-by-epoch comparison between actigraphy and PSG showed a significant decrease in actigraphy accuracy with increased wakefulness in sleep conditions due to the low sleep specificity of actigraphy (generally <50%). Actigraphy overestimated total sleep time and sleep efficiency more strongly in conditions involving more wakefulness. Compared to the 2 regression algorithms, the 2 threshold algorithms were less able to detect wake when the sleep episode involved more wakefulness, and they tended to alternate more between wake and sleep in the scoring of long periods of wakefulness resulting in an overestimation of the number of awakenings.
The very low ability of actigraphy to detect wakefulness casts doubt on its validity to measure sleep quality in clinical populations with fragmented sleep or in situations where the sleep-wake cycle is challenged, such as jet lag and shift work.</abstract><cop>Rochester, MN</cop><pub>American Academy of Sleep Medicine</pub><pmid>17969470</pmid><doi>10.1093/sleep/30.10.1362</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Analysis of Variance Behavioral psychophysiology Biological and medical sciences Circadian Rhythm - physiology Detection of Arousal and Wake Electrophysiology - instrumentation Female Fundamental and applied biological sciences. Psychology Humans Male Polysomnography - instrumentation Predictive Value of Tests Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Sleep - physiology Sleep Disorders, Circadian Rhythm - diagnosis Wakefulness - physiology Wrist - physiology |
title | Wake detection capacity of actigraphy during sleep |
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