The development of IoT-based non-obstructive monitoring system for human's sleep monitoring

During the past few years, Internet of Things (IoT) has unprecedentedly become a buzz word in most areas of business and industry. In this paper, we have developed an IoT solution for human's sleep monitoring based on a data pillow system over the internet via 3G/4G LTE or internet router. A private java application server displays the sleeping information via graphs and widgets together with Node-Red which is a platform on android and iOS mobile apps. To observe sleep information, we have adopted force sensitive resistors (FSRs) installed under the pillow for collecting breathing data. A small single board computer, LattePanda, was used as data acquisition and management system. Initial test results showed that the data pillow successfully to upload sleep data to the server smoothly. The analysis of raw sleep data shows that the IoT data pillow can detecting difference breathing signals between normal respiration, hypopnea and apnea. The integration of sensors, wireless technology, and IoT could improve the data pillow system in terms of facilitating the users to measure their own sleep quality at home while the doctor can access to sleep data of patients over the internet.