Analyze Transmission Data from a Multi-Node Patient's Respiratory FMCW Radar to the Internet of Things

This is the development of a system that has been made, FMCW radar for human or patient breathing which will then determine the type of disease or disorder in the patient just by looking at the type of breathing. This research uses data from FMCW Radar for human or patient breathing, which is then c...

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Published inInternational journal of advanced computer science & applications Vol. 14; no. 5
Main Authors Rahmatullah, Rizky, Adi, Puput Dani Prasetyo, Prasetya, Suisbiyanto, Santiko, Arief Budi, Wahyu, Yuyu, Wicaksana, B.Berlian Surya, Bissa, Stevry Yushady CH, Yanti, Riyani Jana, Pramudita, Aloysius Adya
Format Journal Article
LanguageEnglish
Published West Yorkshire Science and Information (SAI) Organization Limited 2023
Subjects
Algorithms
Antennas
Breathing
Computer science
Doppler effect
Fourier transforms
Internet of Things
Radar
Real time
Receivers & amplifiers
Sensors
Servers
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Summary:This is the development of a system that has been made, FMCW radar for human or patient breathing which will then determine the type of disease or disorder in the patient just by looking at the type of breathing. This research uses data from FMCW Radar for human or patient breathing, which is then converted to data that can be read in real-time by the public, doctors, or medical teams through a web server; the web server used is iotmedis.brin.go.id. The novelty of this study is that various types of respiratory data are taken from various points so that it will cause new analysis, namely the process of transmitting data on server traffic or uplink and downlink processes. Specific data and research novelty is how Multi patient respiratory data from OmnipreSense or FMCW Radar can be processed by a microprocessor using MQTT, and multi-patient data can be displayed on the server in real-time.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2023.0140521