Accuracy validation of sleep measurements by a contactless biomotion sensor on subjects with suspected sleep apnea
Due to the busy lifestyles of people in developed countries, insufficient sleep has emerged as a central health issue in the general population. Objective home sleep monitoring is preferable for identifying sleep problems and improving sleep quality. Several instruments, most notably wrist actigraph...
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Veröffentlicht in: | Sleep and biological rhythms 2014-04, Vol.12 (2), p.106-115 |
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creator | Hashizaki, Masanori Nakajima, Hiroshi Tsutsumi, Masakazu Shiga, Toshikazu Chiba, Shintaro Yagi, Tomoko Ojima, Yuko Ikegami, Azusa Kawabata, Minako Kume, Kazuhiko |
description | Due to the busy lifestyles of people in developed countries, insufficient sleep has emerged as a central health issue in the general population. Objective home sleep monitoring is preferable for identifying sleep problems and improving sleep quality. Several instruments, most notably wrist actigraphy, have been used for this purpose. However, various impediments, including economic and practical concerns, have continued to hamper the widespread use of self-sleep monitoring. In this study, we used the contactless biomotion sensor based on SleepMinder™ with a frequency band modified from 5.8 GHz to 10.525 Hz to comply with Japanese Radio Law. The purpose of the study was to validate the accuracy of the sleep-wake algorithm for adult outpatients used by this new sensing system. We examined the data using simultaneous polysomnography and compared the results with previous contactless biomotion sensor and actigraphy studies. Data were collected at two institutions, the Ota Memorial Sleep Center and Kuwamizu Hospital. In total, 211 adult subjects participated in the study, and 148 (99 subjects with apnea-hypopnea index score 15) were used for the analysis. The overall accuracy of the new system was 84.1%, and its sensitivity and specificity were 91.8% and 37.6%, respectively. The automated algorithm slightly overestimated total sleep time (bias: +13 min) and sleep efficiency (bias: +3%) compared with polysomnography. As for sleep onset latency and wake time after sleep onset, these were slightly underestimated. The results are comparable to previous contactless biomotion sensor and actigraphy studies, and indicate that this modified contactless biomotion sensor is sufficiently accurate for monitoring sleep-wake patterns in this population. |
doi_str_mv | 10.1111/sbr.12049 |
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Objective home sleep monitoring is preferable for identifying sleep problems and improving sleep quality. Several instruments, most notably wrist actigraphy, have been used for this purpose. However, various impediments, including economic and practical concerns, have continued to hamper the widespread use of self-sleep monitoring. In this study, we used the contactless biomotion sensor based on SleepMinder™ with a frequency band modified from 5.8 GHz to 10.525 Hz to comply with Japanese Radio Law. The purpose of the study was to validate the accuracy of the sleep-wake algorithm for adult outpatients used by this new sensing system. We examined the data using simultaneous polysomnography and compared the results with previous contactless biomotion sensor and actigraphy studies. Data were collected at two institutions, the Ota Memorial Sleep Center and Kuwamizu Hospital. In total, 211 adult subjects participated in the study, and 148 (99 subjects with apnea-hypopnea index score 15) were used for the analysis. The overall accuracy of the new system was 84.1%, and its sensitivity and specificity were 91.8% and 37.6%, respectively. The automated algorithm slightly overestimated total sleep time (bias: +13 min) and sleep efficiency (bias: +3%) compared with polysomnography. As for sleep onset latency and wake time after sleep onset, these were slightly underestimated. The results are comparable to previous contactless biomotion sensor and actigraphy studies, and indicate that this modified contactless biomotion sensor is sufficiently accurate for monitoring sleep-wake patterns in this population.</description><identifier>ISSN: 1446-9235</identifier><identifier>EISSN: 1479-8425</identifier><identifier>DOI: 10.1111/sbr.12049</identifier><language>eng</language><publisher>Tokyo: Springer Japan</publisher><subject>actigraphy ; Biomedical and Life Sciences ; Biomedicine ; contactless ; Health Psychology ; Human Physiology ; Internal Medicine ; Neurology ; Neurosciences ; Original Article ; polysomnography ; Psychiatry ; sensor ; sleep</subject><ispartof>Sleep and biological rhythms, 2014-04, Vol.12 (2), p.106-115</ispartof><rights>Japanese Society of Sleep Research 2014</rights><rights>2014 The Authors. Sleep and Biological Rhythms © 2014 Japanese Society of Sleep Research</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2949-1666bd17df0f31938ac9886d29206b389ef0703c7bb2ae52d62fb055e34226a43</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1111/sbr.12049$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1111/sbr.12049$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,1416,27923,27924,41487,42556,45573,45574,51318</link.rule.ids></links><search><creatorcontrib>Hashizaki, Masanori</creatorcontrib><creatorcontrib>Nakajima, Hiroshi</creatorcontrib><creatorcontrib>Tsutsumi, Masakazu</creatorcontrib><creatorcontrib>Shiga, Toshikazu</creatorcontrib><creatorcontrib>Chiba, Shintaro</creatorcontrib><creatorcontrib>Yagi, Tomoko</creatorcontrib><creatorcontrib>Ojima, Yuko</creatorcontrib><creatorcontrib>Ikegami, Azusa</creatorcontrib><creatorcontrib>Kawabata, Minako</creatorcontrib><creatorcontrib>Kume, Kazuhiko</creatorcontrib><title>Accuracy validation of sleep measurements by a contactless biomotion sensor on subjects with suspected sleep apnea</title><title>Sleep and biological rhythms</title><addtitle>Sleep Biol. Rhythms</addtitle><description>Due to the busy lifestyles of people in developed countries, insufficient sleep has emerged as a central health issue in the general population. Objective home sleep monitoring is preferable for identifying sleep problems and improving sleep quality. Several instruments, most notably wrist actigraphy, have been used for this purpose. However, various impediments, including economic and practical concerns, have continued to hamper the widespread use of self-sleep monitoring. In this study, we used the contactless biomotion sensor based on SleepMinder™ with a frequency band modified from 5.8 GHz to 10.525 Hz to comply with Japanese Radio Law. The purpose of the study was to validate the accuracy of the sleep-wake algorithm for adult outpatients used by this new sensing system. We examined the data using simultaneous polysomnography and compared the results with previous contactless biomotion sensor and actigraphy studies. Data were collected at two institutions, the Ota Memorial Sleep Center and Kuwamizu Hospital. In total, 211 adult subjects participated in the study, and 148 (99 subjects with apnea-hypopnea index score 15) were used for the analysis. The overall accuracy of the new system was 84.1%, and its sensitivity and specificity were 91.8% and 37.6%, respectively. The automated algorithm slightly overestimated total sleep time (bias: +13 min) and sleep efficiency (bias: +3%) compared with polysomnography. As for sleep onset latency and wake time after sleep onset, these were slightly underestimated. The results are comparable to previous contactless biomotion sensor and actigraphy studies, and indicate that this modified contactless biomotion sensor is sufficiently accurate for monitoring sleep-wake patterns in this population.</description><subject>actigraphy</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>contactless</subject><subject>Health Psychology</subject><subject>Human Physiology</subject><subject>Internal Medicine</subject><subject>Neurology</subject><subject>Neurosciences</subject><subject>Original Article</subject><subject>polysomnography</subject><subject>Psychiatry</subject><subject>sensor</subject><subject>sleep</subject><issn>1446-9235</issn><issn>1479-8425</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNplUMtOwzAQtBBIlMKBP_AZKa1fceJjqaAgVULicY5sZwOpEieyE6r8Pe7jxl52ZjUzWg1C95QsaJxlMH5BGRHqAs2oyFSSC5ZeHrCQiWI8vUY3IewIYSLlbIb8ytrRazvhX93UpR7qzuGuwqEB6HELOoweWnBDwGbCGtvODdoODYR4qLu2OxoCuNB5fECj2YGN6n09_EQW-sigPOfp3oG-RVeVbgLcnfccfT0_fa5fku3b5nW92iaWKaESKqU0Jc3KilScKp5rq_JclkwxIg3PFVQkI9xmxjANKSslqwxJU-CCMakFn6PlKXdfNzAVva9b7aeCkuLQVBGbKo5NFR-P70cQHQ8nR4hi9w2-2HWjd_HJ_y7-Bw-UbjY</recordid><startdate>201404</startdate><enddate>201404</enddate><creator>Hashizaki, Masanori</creator><creator>Nakajima, Hiroshi</creator><creator>Tsutsumi, Masakazu</creator><creator>Shiga, Toshikazu</creator><creator>Chiba, Shintaro</creator><creator>Yagi, Tomoko</creator><creator>Ojima, Yuko</creator><creator>Ikegami, Azusa</creator><creator>Kawabata, Minako</creator><creator>Kume, Kazuhiko</creator><general>Springer Japan</general><scope/></search><sort><creationdate>201404</creationdate><title>Accuracy validation of sleep measurements by a contactless biomotion sensor on subjects with suspected sleep apnea</title><author>Hashizaki, Masanori ; Nakajima, Hiroshi ; Tsutsumi, Masakazu ; Shiga, Toshikazu ; Chiba, Shintaro ; Yagi, Tomoko ; Ojima, Yuko ; Ikegami, Azusa ; Kawabata, Minako ; Kume, Kazuhiko</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2949-1666bd17df0f31938ac9886d29206b389ef0703c7bb2ae52d62fb055e34226a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>actigraphy</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>contactless</topic><topic>Health Psychology</topic><topic>Human Physiology</topic><topic>Internal Medicine</topic><topic>Neurology</topic><topic>Neurosciences</topic><topic>Original Article</topic><topic>polysomnography</topic><topic>Psychiatry</topic><topic>sensor</topic><topic>sleep</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hashizaki, Masanori</creatorcontrib><creatorcontrib>Nakajima, Hiroshi</creatorcontrib><creatorcontrib>Tsutsumi, Masakazu</creatorcontrib><creatorcontrib>Shiga, Toshikazu</creatorcontrib><creatorcontrib>Chiba, Shintaro</creatorcontrib><creatorcontrib>Yagi, Tomoko</creatorcontrib><creatorcontrib>Ojima, Yuko</creatorcontrib><creatorcontrib>Ikegami, Azusa</creatorcontrib><creatorcontrib>Kawabata, Minako</creatorcontrib><creatorcontrib>Kume, Kazuhiko</creatorcontrib><jtitle>Sleep and biological rhythms</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hashizaki, Masanori</au><au>Nakajima, Hiroshi</au><au>Tsutsumi, Masakazu</au><au>Shiga, Toshikazu</au><au>Chiba, Shintaro</au><au>Yagi, Tomoko</au><au>Ojima, Yuko</au><au>Ikegami, Azusa</au><au>Kawabata, Minako</au><au>Kume, Kazuhiko</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accuracy validation of sleep measurements by a contactless biomotion sensor on subjects with suspected sleep apnea</atitle><jtitle>Sleep and biological rhythms</jtitle><stitle>Sleep Biol. Rhythms</stitle><date>2014-04</date><risdate>2014</risdate><volume>12</volume><issue>2</issue><spage>106</spage><epage>115</epage><pages>106-115</pages><issn>1446-9235</issn><eissn>1479-8425</eissn><abstract>Due to the busy lifestyles of people in developed countries, insufficient sleep has emerged as a central health issue in the general population. Objective home sleep monitoring is preferable for identifying sleep problems and improving sleep quality. Several instruments, most notably wrist actigraphy, have been used for this purpose. However, various impediments, including economic and practical concerns, have continued to hamper the widespread use of self-sleep monitoring. In this study, we used the contactless biomotion sensor based on SleepMinder™ with a frequency band modified from 5.8 GHz to 10.525 Hz to comply with Japanese Radio Law. The purpose of the study was to validate the accuracy of the sleep-wake algorithm for adult outpatients used by this new sensing system. We examined the data using simultaneous polysomnography and compared the results with previous contactless biomotion sensor and actigraphy studies. Data were collected at two institutions, the Ota Memorial Sleep Center and Kuwamizu Hospital. In total, 211 adult subjects participated in the study, and 148 (99 subjects with apnea-hypopnea index score 15) were used for the analysis. The overall accuracy of the new system was 84.1%, and its sensitivity and specificity were 91.8% and 37.6%, respectively. The automated algorithm slightly overestimated total sleep time (bias: +13 min) and sleep efficiency (bias: +3%) compared with polysomnography. As for sleep onset latency and wake time after sleep onset, these were slightly underestimated. The results are comparable to previous contactless biomotion sensor and actigraphy studies, and indicate that this modified contactless biomotion sensor is sufficiently accurate for monitoring sleep-wake patterns in this population.</abstract><cop>Tokyo</cop><pub>Springer Japan</pub><doi>10.1111/sbr.12049</doi><tpages>10</tpages></addata></record> |
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subjects | actigraphy Biomedical and Life Sciences Biomedicine contactless Health Psychology Human Physiology Internal Medicine Neurology Neurosciences Original Article polysomnography Psychiatry sensor sleep |
title | Accuracy validation of sleep measurements by a contactless biomotion sensor on subjects with suspected sleep apnea |
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