Estimating sleep cycle using body movement density

The rate at which body movement occurs during sleep is an important element in the estimation of sleep stages. Thus, "body movement density (BMD)", the number of body movements that occur over a period of time, can be used as an index reflecting the quantity of actual body movements measur...

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Published in2012 5th International Conference on Biomedical Engineering and Informatics pp. 1081 - 1085
Main Authors Kambayashi, Y., Hagiwara, H.
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.10.2012
Subjects
BMD
body movement
Estimation
Heart beat
Indexes
Information science
Motion detection
Motion measurement
PSG
Sleep
sleep stage
Synchronization
Temperature measurement
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ISBN9781467311830
1467311839
DOI10.1109/BMEI.2012.6513133

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Abstract The rate at which body movement occurs during sleep is an important element in the estimation of sleep stages. Thus, "body movement density (BMD)", the number of body movements that occur over a period of time, can be used as an index reflecting the quantity of actual body movements measured using an infrared motion sensor. In the present study, sleep stage determined by polysomnography (PSG) as the main physiology index is compared to body movement data. The stages of sleep follow the international standards of Rechtschaffen and Kales. The transitions between sleep levels within the sleep cycle and changes in BMD were synchronous. Using the proposed method, a concordance rate of 76.9% (SD±24.0) between the BMD cycle and sleep cycle was obtained. Therefore, estimating the changes in sleep cycles is possible using only BMD.
AbstractList The rate at which body movement occurs during sleep is an important element in the estimation of sleep stages. Thus, "body movement density (BMD)", the number of body movements that occur over a period of time, can be used as an index reflecting the quantity of actual body movements measured using an infrared motion sensor. In the present study, sleep stage determined by polysomnography (PSG) as the main physiology index is compared to body movement data. The stages of sleep follow the international standards of Rechtschaffen and Kales. The transitions between sleep levels within the sleep cycle and changes in BMD were synchronous. Using the proposed method, a concordance rate of 76.9% (SD±24.0) between the BMD cycle and sleep cycle was obtained. Therefore, estimating the changes in sleep cycles is possible using only BMD.
Author Kambayashi, Y.
Hagiwara, H.
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Snippet The rate at which body movement occurs during sleep is an important element in the estimation of sleep stages. Thus, "body movement density (BMD)", the number...
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StartPage 1081
SubjectTerms BMD
body movement
Estimation
Heart beat
Indexes
Information science
Motion detection
Motion measurement
PSG
Sleep
sleep stage
Synchronization
Temperature measurement
Title Estimating sleep cycle using body movement density
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