Real-Time Contactless Breathing Monitoring System Using Radar with Web Server

Alcides Bernardo Tello, Shuyuan Yang, Yonel Chocano Figueroa, Anderson Daniel Torres Bernardo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva


As an innovative monitoring system, methods for non-contact human vital signs detection have been on the rise recently. Although different technologies use different principles, the chief purpose is physical health assessment. Nevertheless, in practice, the position and angle of an individual are not always in an ideal condition for the current vital signs monitoring programs to obtain reliable information. Therefore, this study proposed a method of automatic gain of low-frequency signals used to track the monitoring signals of the human vital signs dynamically. This study also designed a web system that processes and stores millimetre-wave radar technology data to detect the patient’s heartbeat and breathing rate with a touch-free approach. Additionally, this system proved to be helpful for non-sensory perception and information gathering in daily life. Afterwards, the algorithm that monitors the vital signs analyses the breathing pattern, heart rate, and their variations after the human signs enter a static state. The reference design was a customised respiratory and heart rate signal extraction based on the STM32F401 chip and 24G Doppler radar sensor. Our method has successfully detected the presence of apnea events and has thus alerted the corresponding individual accordingly. Ultimately, the contactless method is particularly suitable for the pandemic as it is the best way to prevent the transmission of infectious illnesses; furthermore, it provides a steady stream of data to be stored in the server for further use and analysis.

Idioma originalInglés
Título de la publicación alojadaBiomedical and Computational Biology - 2nd International Symposium, BECB 2022, Revised Selected Papers
EditoresShiping Wen, Cihui Yang
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas9
ISBN (versión impresa)9783031251900
EstadoPublicada - 2023
Evento2nd International Symposium on Biomedical and Computational Biology, BECB 2022 - Virtual, Online
Duración: 13 ago. 202215 ago. 2022

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen13637 LNBI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349


Conferencia2nd International Symposium on Biomedical and Computational Biology, BECB 2022
CiudadVirtual, Online


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