Correlation of the Karolinska Sleepiness with Behavioral Measures of a Monotonous Bimanual Psychomotor Rest
Objectives . To assess the objectivity of measurements of the level of drowsiness in subjects using a previously developed monotonous psychomotor bimanual tapping test performed on mobile devices running Android OS. Materials and methods . A total of 494 1-h experiments were run in 102 students usin...
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| Veröffentlicht in: | Neuroscience and behavioral physiology 2023-11, Vol.53 (9), p.1515-1520 |
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| container_title | Neuroscience and behavioral physiology |
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| creator | Manaenkov, A. E. Prokhorenko, N. O. Tkachenko, O. N. Sveshnikov, D. S. Dorokhov, V. B. |
| description | Objectives
. To assess the objectivity of measurements of the level of drowsiness in subjects using a previously developed monotonous psychomotor bimanual tapping test performed on mobile devices running Android OS.
Materials and methods
. A total of 494 1-h experiments were run in 102 students using a psychomotor test. Correlations between sleepiness levels on the Karolinska Sleepiness Scale (KSS) and the Epworth Sleepiness Scale (ESS) and behavioral test scores were assessed using linear mixed models.
Results
. Statistically significant relationships were demonstrated between increases in KSS scores and indicators such as decreases in the total number of button presses and increases in the frequency of microsleep episodes. There were no statistically significant relationships between ESS scores and performance on behavioral tests.
Conclusions
. studies using a large statistical dataset showed significant correlations between psychomotor test parameters and the level of drowsiness on the KSS, which supports the validity of a mobile app which has been developed to determine ongoing drowsiness/vigilance levels in the field. |
| doi_str_mv | 10.1007/s11055-023-01547-w |
| format | Article |
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. To assess the objectivity of measurements of the level of drowsiness in subjects using a previously developed monotonous psychomotor bimanual tapping test performed on mobile devices running Android OS.
Materials and methods
. A total of 494 1-h experiments were run in 102 students using a psychomotor test. Correlations between sleepiness levels on the Karolinska Sleepiness Scale (KSS) and the Epworth Sleepiness Scale (ESS) and behavioral test scores were assessed using linear mixed models.
Results
. Statistically significant relationships were demonstrated between increases in KSS scores and indicators such as decreases in the total number of button presses and increases in the frequency of microsleep episodes. There were no statistically significant relationships between ESS scores and performance on behavioral tests.
Conclusions
. studies using a large statistical dataset showed significant correlations between psychomotor test parameters and the level of drowsiness on the KSS, which supports the validity of a mobile app which has been developed to determine ongoing drowsiness/vigilance levels in the field.</description><identifier>ISSN: 0097-0549</identifier><identifier>EISSN: 1573-899X</identifier><identifier>DOI: 10.1007/s11055-023-01547-w</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Behavioral Sciences ; Biomedical and Life Sciences ; Biomedicine ; Drowsiness ; Experiments ; Medical research ; Neurobiology ; Neurophysiology ; Neurosciences ; Physiology ; Questionnaires ; Sleep ; Sleep and wakefulness ; Sleep Physiology ; Smartphones ; Statistical analysis ; Vigilance</subject><ispartof>Neuroscience and behavioral physiology, 2023-11, Vol.53 (9), p.1515-1520</ispartof><rights>Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c185w-e1575fa97504a4b73b2cb1924575f4157352905dacca6207738155e350969b793</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11055-023-01547-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11055-023-01547-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Manaenkov, A. E.</creatorcontrib><creatorcontrib>Prokhorenko, N. O.</creatorcontrib><creatorcontrib>Tkachenko, O. N.</creatorcontrib><creatorcontrib>Sveshnikov, D. S.</creatorcontrib><creatorcontrib>Dorokhov, V. B.</creatorcontrib><title>Correlation of the Karolinska Sleepiness with Behavioral Measures of a Monotonous Bimanual Psychomotor Rest</title><title>Neuroscience and behavioral physiology</title><addtitle>Neurosci Behav Physi</addtitle><description>Objectives
. To assess the objectivity of measurements of the level of drowsiness in subjects using a previously developed monotonous psychomotor bimanual tapping test performed on mobile devices running Android OS.
Materials and methods
. A total of 494 1-h experiments were run in 102 students using a psychomotor test. Correlations between sleepiness levels on the Karolinska Sleepiness Scale (KSS) and the Epworth Sleepiness Scale (ESS) and behavioral test scores were assessed using linear mixed models.
Results
. Statistically significant relationships were demonstrated between increases in KSS scores and indicators such as decreases in the total number of button presses and increases in the frequency of microsleep episodes. There were no statistically significant relationships between ESS scores and performance on behavioral tests.
Conclusions
. studies using a large statistical dataset showed significant correlations between psychomotor test parameters and the level of drowsiness on the KSS, which supports the validity of a mobile app which has been developed to determine ongoing drowsiness/vigilance levels in the field.</description><subject>Behavioral Sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Drowsiness</subject><subject>Experiments</subject><subject>Medical research</subject><subject>Neurobiology</subject><subject>Neurophysiology</subject><subject>Neurosciences</subject><subject>Physiology</subject><subject>Questionnaires</subject><subject>Sleep</subject><subject>Sleep and wakefulness</subject><subject>Sleep Physiology</subject><subject>Smartphones</subject><subject>Statistical analysis</subject><subject>Vigilance</subject><issn>0097-0549</issn><issn>1573-899X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kE1LxDAQhoMouK7-AU8Bz9FJ02yao7v4hbsofoC3kNbUdrfb1KS17L83tYI3D8PA8D4z77wInVI4pwDiwlMKnBOIGAHKY0H6PTShXDCSSPm2jyYAUhDgsTxER96vIUAigQnaLKxzptJtaWtsc9wWBt9rZ6uy9huNnytjmrI23uO-bAs8N4X-Kq3TFV4Z7Ttn_EBpvLK1bUN1Hs_Lra67oHj0u6yw2zB3-Mn49hgd5Lry5uS3T9Hr9dXL4pYsH27uFpdLktGE98QE3zzXUnCIdZwKlkZZSmUUD-N4eIpHEvi7zjI9i8IfLKGcG8ZBzmQqJJuis3Fv4-xnFw6rte1cHU6qSFLGE2A0DqpoVGXOeu9MrhoXnLudoqCGUNUYqgqhqp9QVR8gNkI-iOsP4_5W_0N9A_4kesQ</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Manaenkov, A. E.</creator><creator>Prokhorenko, N. O.</creator><creator>Tkachenko, O. N.</creator><creator>Sveshnikov, D. S.</creator><creator>Dorokhov, V. 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E. ; Prokhorenko, N. O. ; Tkachenko, O. N. ; Sveshnikov, D. S. ; Dorokhov, V. B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c185w-e1575fa97504a4b73b2cb1924575f4157352905dacca6207738155e350969b793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Behavioral Sciences</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Drowsiness</topic><topic>Experiments</topic><topic>Medical research</topic><topic>Neurobiology</topic><topic>Neurophysiology</topic><topic>Neurosciences</topic><topic>Physiology</topic><topic>Questionnaires</topic><topic>Sleep</topic><topic>Sleep and wakefulness</topic><topic>Sleep Physiology</topic><topic>Smartphones</topic><topic>Statistical analysis</topic><topic>Vigilance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Manaenkov, A. E.</creatorcontrib><creatorcontrib>Prokhorenko, N. O.</creatorcontrib><creatorcontrib>Tkachenko, O. N.</creatorcontrib><creatorcontrib>Sveshnikov, D. S.</creatorcontrib><creatorcontrib>Dorokhov, V. B.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><jtitle>Neuroscience and behavioral physiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Manaenkov, A. E.</au><au>Prokhorenko, N. O.</au><au>Tkachenko, O. N.</au><au>Sveshnikov, D. S.</au><au>Dorokhov, V. B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlation of the Karolinska Sleepiness with Behavioral Measures of a Monotonous Bimanual Psychomotor Rest</atitle><jtitle>Neuroscience and behavioral physiology</jtitle><stitle>Neurosci Behav Physi</stitle><date>2023-11-01</date><risdate>2023</risdate><volume>53</volume><issue>9</issue><spage>1515</spage><epage>1520</epage><pages>1515-1520</pages><issn>0097-0549</issn><eissn>1573-899X</eissn><abstract>Objectives
. To assess the objectivity of measurements of the level of drowsiness in subjects using a previously developed monotonous psychomotor bimanual tapping test performed on mobile devices running Android OS.
Materials and methods
. A total of 494 1-h experiments were run in 102 students using a psychomotor test. Correlations between sleepiness levels on the Karolinska Sleepiness Scale (KSS) and the Epworth Sleepiness Scale (ESS) and behavioral test scores were assessed using linear mixed models.
Results
. Statistically significant relationships were demonstrated between increases in KSS scores and indicators such as decreases in the total number of button presses and increases in the frequency of microsleep episodes. There were no statistically significant relationships between ESS scores and performance on behavioral tests.
Conclusions
. studies using a large statistical dataset showed significant correlations between psychomotor test parameters and the level of drowsiness on the KSS, which supports the validity of a mobile app which has been developed to determine ongoing drowsiness/vigilance levels in the field.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s11055-023-01547-w</doi><tpages>6</tpages></addata></record> |
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| subjects | Behavioral Sciences Biomedical and Life Sciences Biomedicine Drowsiness Experiments Medical research Neurobiology Neurophysiology Neurosciences Physiology Questionnaires Sleep Sleep and wakefulness Sleep Physiology Smartphones Statistical analysis Vigilance |
| title | Correlation of the Karolinska Sleepiness with Behavioral Measures of a Monotonous Bimanual Psychomotor Rest |
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