Data Analyzes and conversion of Patient’s Respiratory FMCW Radar to the Internet of Things

Abstract

Radar technology for health continues to be developed, one of which is from this research, which focuses on Respiratory patients. Not only in terms of FMCW Radar analysis for medical but also in terms of flexibility in displaying data that can be integrated with smartphone devices used by many people today. One of the servers used is MQTT, which has been installed and successfully displayed realtime patient respiratory data. In the future, this research will be installed using a permanent casing that is more fixed and stable in the connectivity process between devices, involving the Raspberry Pi 4 B and OmniPreSense Radar. The data is integrated into the MQTT server with the patient’s respiratory data and produces realtime data in the form of respiratory data graphs.