Abstract
BACKGROUND:
Sleep monitoring is essential to maintain a healthy life, especially for the elderly who want to age well. Among various forms of sleep devices, the non-wearable and home-adapted device might be preferred because it can be easily used.
OBJECTIVE:
In this study, we evaluated the performance of a non-contact home-adapted device compared to polysomnography (PSG), a gold standard method.
METHODS:
As a preliminary study, eight subjects were recorded over fourteen nights through PSG. The non-contact home-adapted device comprised a microwave sensor, passive infrared sensor, and smartphone application. Through the device, heart rate, respiratory rate, and body movement were collected and used to estimate sleep stages. Sleep structure was labeled in four classes: wake, REM, light, and deep sleep, and were classified using a weighted k-nearest neighbor algorithm.
RESULTS:
The device correctly estimated sleep structures with an overall epoch-by-epoch accuracy of 98.65%
CONCLUSIONS:
Our findings demonstrate a good performance of this non-contact and home-adapted device and suggest its suitability for sleep monitoring.
Get full access to this article
View all access options for this article.