Abstract
Sleep quality and duration are critical indicators of individual health. Traditional methods of monitoring them either were limited to the application environment or resulted in discomfort. To overcome these existing limitations, we propose a noncontact sleep monitoring system placed under the mattress, named SleepMatrix, to provide users with a comprehensive picture of their real-time to long-term health status. SleepMatrix is a sleep monitoring system that consists of two parts: a front-end sensor array and a cloud-edge data processing system. The data-driven system, based on the Internet of Things, can be flexibly deployed in environments from homes to transportation, and a variety of centralized control and monitoring functions can be flexibly deployed under different application scenarios. At the same time, users can view real-time and historical data through supporting applications and understand the sleep monitoring results. SleepMatrix is a complete and systematic sleep monitoring tool that can help people understand their health status and its evolution from a new perspective and therefore may contribute greatly to informing users of potential illnesses.
Highlights
Sleep problems are a growing concern for global public health because poor sleep is associated with impairments in motivation, emotion, and cognitive functions as well as increased risks of serious medical conditions, even when the symptoms are below the threshold of clinical sleep disorders [1]–[4]
This paper proposes a monitoring system, named SleepMatrix, which can carry out long-term stable, reliable and economical noncontact monitoring of sleep, in response to the problems and challenges faced by existing sleep monitoring technologies
The results show that the measurement error between this solution and manual observation meets the allowable range of error in the ‘‘Technical Review Specification for Sleep Breath testing patients
Summary
Sleep problems are a growing concern for global public health because poor sleep is associated with impairments in motivation, emotion, and cognitive functions as well as increased risks of serious medical conditions (e.g., diabetes, cardiovascular disease, and cancer), even when the symptoms are below the threshold of clinical sleep disorders [1]–[4]. The use of PSG equipment requires many cables connected to the human body It provides accurate and comprehensive information for professional medical analysis but seriously hinders the user from occasional nocturnal movements such as turning over and getting up at night, which seriously limits daily life applications [10]. Alternative solutions such as wristwatch-like actigraphy were proposed by recording hand-related locomotor activities via a built-in piezoelectric accelerometer. Noncontact sleep monitoring systems based on Doppler radar are being actively researched to measure more physiological information types and provide higher accuracy.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
