Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion Sensor

Many people find that their sleep is restricted or disturbed by social obligations, including work. Sleep phase delays can affect an individual’s circadian rhythms on the following day and cause daytime sleepiness and/or poor performance. In this study, to examine weekly variations in sleep patterns...

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Main Authors: Masanori Hashizaki, Hiroshi Nakajima, Kazuhiko Kume
Format: Article
Language:English
Published: MDPI AG 2015-08-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/15/8/18950
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spelling doaj-6f6cb3f179be47c7a9d9033eb8763b5c2020-11-25T01:12:48ZengMDPI AGSensors1424-82202015-08-01158189501896410.3390/s150818950s150818950Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion SensorMasanori Hashizaki0Hiroshi Nakajima1Kazuhiko Kume2Graduate School of Pharmaceutical Sciences, Nagoya City University, Nagoya 467-8603, JapanTechnology and Intellectual Property H.Q., Omron Corporation, Kyoto 619-0283, JapanGraduate School of Pharmaceutical Sciences, Nagoya City University, Nagoya 467-8603, JapanMany people find that their sleep is restricted or disturbed by social obligations, including work. Sleep phase delays can affect an individual’s circadian rhythms on the following day and cause daytime sleepiness and/or poor performance. In this study, to examine weekly variations in sleep patterns, we analyzed sleep data for seven-day periods (from Sunday to Saturday) that had been collected from 2914 subjects (aged 20–79 years) over a total of 24,899 subject-weeks using contactless biomotion sensors. On the weekend, the subjects’ mean sleep midpoint, bedtime, and wake-up time were delayed by 40, 26 and 53 min, respectively, compared with those seen on weekdays. In addition, on weekdays, the mean difference between the maximum and median sleep midpoint ranged from 35 to 47 min among the subjects in their 20 s–70 s. The weekend delay and weekday variation in the subjects’ sleep patterns tended to decrease with age. This study detected sleep pattern disturbances on both weekdays and weekends. The serial changes in weekday bedtimes detected in this study suggest that sleep habits are influenced by changes in the temporal patterns of social activities/duties. We need further study the advantages of getting extra sleep and the disadvantages of sleep pattern disturbances in daily lifestyle.http://www.mdpi.com/1424-8220/15/8/18950contactlesssensorcircadian rhythmdelayweekendschedule
collection DOAJ
language English
format Article
sources DOAJ
author Masanori Hashizaki
Hiroshi Nakajima
Kazuhiko Kume
spellingShingle Masanori Hashizaki
Hiroshi Nakajima
Kazuhiko Kume
Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion Sensor
Sensors
contactless
sensor
circadian rhythm
delay
weekend
schedule
author_facet Masanori Hashizaki
Hiroshi Nakajima
Kazuhiko Kume
author_sort Masanori Hashizaki
title Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion Sensor
title_short Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion Sensor
title_full Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion Sensor
title_fullStr Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion Sensor
title_full_unstemmed Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion Sensor
title_sort monitoring of weekly sleep pattern variations at home with a contactless biomotion sensor
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2015-08-01
description Many people find that their sleep is restricted or disturbed by social obligations, including work. Sleep phase delays can affect an individual’s circadian rhythms on the following day and cause daytime sleepiness and/or poor performance. In this study, to examine weekly variations in sleep patterns, we analyzed sleep data for seven-day periods (from Sunday to Saturday) that had been collected from 2914 subjects (aged 20–79 years) over a total of 24,899 subject-weeks using contactless biomotion sensors. On the weekend, the subjects’ mean sleep midpoint, bedtime, and wake-up time were delayed by 40, 26 and 53 min, respectively, compared with those seen on weekdays. In addition, on weekdays, the mean difference between the maximum and median sleep midpoint ranged from 35 to 47 min among the subjects in their 20 s–70 s. The weekend delay and weekday variation in the subjects’ sleep patterns tended to decrease with age. This study detected sleep pattern disturbances on both weekdays and weekends. The serial changes in weekday bedtimes detected in this study suggest that sleep habits are influenced by changes in the temporal patterns of social activities/duties. We need further study the advantages of getting extra sleep and the disadvantages of sleep pattern disturbances in daily lifestyle.
topic contactless
sensor
circadian rhythm
delay
weekend
schedule
url http://www.mdpi.com/1424-8220/15/8/18950
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