TY - GEN
T1 - IoT Platform for Remote Monitoring and Controlling Small-scale Ventilator for SAR Patient
AU - Ullah, Farman
AU - Khan, Muhammad Jalal
AU - Arsalan, Qizal
AU - Khattak, Javeria
AU - Siddiqui, Uzma Abid
AU - Siddiqui, Afsah Abid
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The Sever Actuatory Respiratory disease termed COVID-19 has triggered worldwide vital ventilator shortages. It necessitates designing a mechanical ventilator based on a microcontroller structure combined with an AMBU Bag (BVM) ventilation mechanism and IoT-enabled remote monitoring and controlling. Mechanical ventilators, called life support systems, are designed for use in the treatment of respiratory insufficiency. The COVID-19 pandemic disease mainly affects the respiratory system and involves mechanical ventilators for breathing control. This article aims to design an intelligent health monitoring and small-scale ventilator system for breathing control using oxygen. The proposed system consists of: (1) Raspberry-pi based platform for interfacing various sensors and actuators required for ventilation; (2) Breathing (O2) control using the proper level of various constituents of air while maintaining the required pressure level; (3) Controlling of inhale and exhale valves based on sensor data; (4) Proper flow control of air mixture; (5) IoT and Web-based platform for remote ventilator patient monitoring. The experimental results show the efficient remote management of the small-scale ventilator system.
AB - The Sever Actuatory Respiratory disease termed COVID-19 has triggered worldwide vital ventilator shortages. It necessitates designing a mechanical ventilator based on a microcontroller structure combined with an AMBU Bag (BVM) ventilation mechanism and IoT-enabled remote monitoring and controlling. Mechanical ventilators, called life support systems, are designed for use in the treatment of respiratory insufficiency. The COVID-19 pandemic disease mainly affects the respiratory system and involves mechanical ventilators for breathing control. This article aims to design an intelligent health monitoring and small-scale ventilator system for breathing control using oxygen. The proposed system consists of: (1) Raspberry-pi based platform for interfacing various sensors and actuators required for ventilation; (2) Breathing (O2) control using the proper level of various constituents of air while maintaining the required pressure level; (3) Controlling of inhale and exhale valves based on sensor data; (4) Proper flow control of air mixture; (5) IoT and Web-based platform for remote ventilator patient monitoring. The experimental results show the efficient remote management of the small-scale ventilator system.
KW - CVOID-19
KW - IoT
KW - Remote Patient Monitoring
KW - SAR
KW - Web of Things
UR - http://www.scopus.com/inward/record.url?scp=85182948245&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85182948245&partnerID=8YFLogxK
U2 - 10.1109/IIT59782.2023.10366493
DO - 10.1109/IIT59782.2023.10366493
M3 - Conference contribution
AN - SCOPUS:85182948245
T3 - 2023 15th International Conference on Innovations in Information Technology, IIT 2023
SP - 202
EP - 207
BT - 2023 15th International Conference on Innovations in Information Technology, IIT 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Conference on Innovations in Information Technology, IIT 2023
Y2 - 14 November 2023 through 15 November 2023
ER -