Paper Info
Title
Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion Sensor.
Abstract
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.
Year
DOI
Venue
2015
10.3390/s150818950
SENSORS
Keywords
Field
DocType
contactless,sensor,circadian rhythm,delay,weekend,schedule
Mean difference,Circadian rhythm,Sleep pattern,Internal medicine,Bedtime,Wakefulness,Electronic engineering,Engineering,Audiology,Endocrinology
Journal
Volume
Issue
ISSN
15
8.0
1424-8220
Citations 
PageRank 
References 
3
0.41
0
Authors
3
Name
Order
Citations
PageRank
masanori hashizaki130.41
Hiroshi Nakajima28912.41
kazuhiko kume330.41