Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion Sensor
نویسندگان
چکیده
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.
منابع مشابه
Development of a Sleep Monitoring System with Wearable Vital Sensor for Home Use
This paper describes a new sleep monitoring system for home use. The basic system consists of a wearable physiological sensor and PC software for analyzing sleep quality from user’s wrist motion and heart rate variability. Different from a conventional sleep monitoring device used in a hospital, the sensor is so small and easy-to-use that a normal person can use it at home. This means that the ...
متن کاملMASTER THESIS 5T746 Two-Person Segmentation for Video Based Actigraph Generation in a Shared Bed Environment
Sleep studies assess the quality of sleep and body response to sleeping disorders. Sleep studies have gained prominence as empirical studies have shown the relation between untreated sleep disorders to e.g. high blood pressure, stroke, heart diseases and other severe medical conditions. Polysomnography (PSG) [1] and wrist actigraphy are widely used in sleep studies. These methods are neither co...
متن کاملAutomatic Monitoring of Sleep Behaviour in Nursing Home Residents
In this paper, we propose a completely unconstrained method for automatic monitoring of sleep behaviour and health status in nursing home residents using an Internetbased automatic sleep monitoring system mainly composed of a pressure sensor and a data server. When a nursing home resident lies in bed, his/her pressure variations due to heart pulsation, respiration, and body movement are sensed ...
متن کاملHome monitoring of heart failure patients at risk for hospital readmission using a novel under-the-mattress piezoelectric sensor: A preliminary single centre experience
Introduction A piezoelectric sensor (PS) converts mechanical deformations into electrical signals. We used a contactless under-the-mattress PS to monitor physiological vibrations resulting from breathing, pumping of the heart, and body movements, among individuals at home following hospitalization for heart failure (HF). Our objectives were to assess acceptability of the device in the home, to ...
متن کاملAn Ultrasonic Contactless Sensor for Breathing Monitoring
The monitoring of human breathing activity during a long period has multiple fundamental applications in medicine. In breathing sleep disorders such as apnea, the diagnosis is based on events during which the person stops breathing for several periods during sleep. In polysomnography, the standard for sleep disordered breathing analysis, chest movement and airflow are used to monitor the respir...
متن کامل