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Non-constraining sleep/wake monitoring system using bed actigraphy

DC Field Value Language
dc.contributor.authorChoi, Byoung Hoon-
dc.contributor.authorSeo, Jin Woo-
dc.contributor.authorChoi, Jong Min-
dc.contributor.authorShin, Hong Bum-
dc.contributor.authorLee, Joo Young-
dc.contributor.authorJeong, Do Un-
dc.contributor.authorPark, Kwang Suk-
dc.date.accessioned2009-11-25T03:03:06Z-
dc.date.available2009-11-25T03:03:06Z-
dc.date.issued2006-12-06-
dc.identifier.citationMed Biol Eng Comput. 2007 Jan;45(1):107-14. Epub 2006 Dec 5.en
dc.identifier.issn0140-0118 (Print)-
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17146691-
dc.identifier.urihttps://hdl.handle.net/10371/15065-
dc.description.abstractThis paper introduces a new method, bed actigraphy (BACT) for user-friendly sleep-wake monitoring. BACT provides a non-intrusive acquisition of activity data, and in particular does not require that sensors be attached to the subject's body. The system consists of four load-sensing cells supporting the bed, an A/D converter, and a microcontroller with appropriate software. The performance of BACT was compared to that of standard polysomnography (PSG) recordings and wrist-worn actigraphy (ACT). Ten normal volunteers underwent overnight PSG recordings and were examined simultaneously with BACT and ACT. An automatic scoring algorithm scored each 30-s epoch of the BACT recordings for either 'Wake' or 'Sleep.' A sleep specialist manually scored the PSG recordings, and the results were divided into 'Wake' and 'Sleep' categories. The three methods showed a significant correlation when compared with in the contingency test. The mean epoch-by-epoch agreements between the BACT and PSG, ACT and PSG, and BACT and ACT recordings were 95.2, 92.9, and 94.3%, respectively. The mean absolute differences in sleep percentage (SP) between them were 1.8 +/- 0.82, 3.4 +/- 1.45, and 1.9 +/- 1.16 %, respectively. BACT differentiation of the 'Wake' and 'Sleep' stages proved to be sufficiently robust, and its results were comparable to PSG analysis. This finding supports the experimental and clinical value of bed-activity monitoring during sleep.en
dc.language.isoen-
dc.publisherSpringer Verlagen
dc.subjectAdulten
dc.subjectHumansen
dc.subjectMiddle Ageden
dc.subjectMonitoring, Physiologic/instrumentation/*methodsen
dc.subjectMovementen
dc.subjectPolysomnographyen
dc.subjectSensitivity and Specificityen
dc.subjectSleep/*physiologyen
dc.subjectSleep Disorders/diagnosisen
dc.subjectSleep Stagesen
dc.subjectSoftwareen
dc.subjectWakefulness/*physiologyen
dc.subjectSignal Processing, Computer-Assisted-
dc.titleNon-constraining sleep/wake monitoring system using bed actigraphyen
dc.typeArticleen
dc.contributor.AlternativeAuthor최병훈-
dc.contributor.AlternativeAuthor서진우-
dc.contributor.AlternativeAuthor최종민-
dc.contributor.AlternativeAuthor신홍범-
dc.contributor.AlternativeAuthor이주영-
dc.contributor.AlternativeAuthor정도언-
dc.contributor.AlternativeAuthor박광석-
dc.identifier.doi10.1007/s11517-006-0134-1-
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