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Intelligent Systems and Machine Learning. First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part I

Research Article

Automatic Oxygen Ventilation and Monitoring System Using IoT

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-35078-8_35,
        author={Madhunala Srilatha and K. Vinay and Polemoni Jevardhan Raju},
        title={Automatic Oxygen Ventilation and Monitoring System Using IoT},
        proceedings={Intelligent Systems and Machine Learning. First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part I},
        proceedings_a={ICISML},
        year={2023},
        month={7},
        keywords={Internet of Things Ventilation system Oxygen generation Sensing devices COVID-19},
        doi={10.1007/978-3-031-35078-8_35}
    }
    
  • Madhunala Srilatha
    K. Vinay
    Polemoni Jevardhan Raju
    Year: 2023
    Automatic Oxygen Ventilation and Monitoring System Using IoT
    ICISML
    Springer
    DOI: 10.1007/978-3-031-35078-8_35
Madhunala Srilatha1,*, K. Vinay1, Polemoni Jevardhan Raju1
  • 1: Department of ECE, Vardhaman College of Engineering
*Contact email: srilathateli@gmail.com

Abstract

The difficulties faced by the country in the medical system during COVID-19 have increased tremendously. Shortage of resources to patients if generated can help them to come out of the situation and can even save their lives. The proposed system can help to provide primary resources which generates oxygen based on the heartbeat of the patient. In this paper, an oxygen generation ventilation system is designed which assist patients who are suffering from breathing problems. This system generates oxygen based on the heartbeat of a patient where the minimum and maximum values of a heartbeat are taken as threshold values and these values are processed to drive the motor through the relay driver circuit. IoT-based monitoring and alert system will send the status of the patient’s health condition to a doctor at regular intervals. Additionally sensing devices like the temperature sensor and vibration sensors are also used to monitor the patients. Simulation results show that the proposed system will work efficiently and save the life of the patient.

Keywords
Internet of Things Ventilation system Oxygen generation Sensing devices COVID-19
Published
2023-07-10
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-35078-8_35
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