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Research Article

Early Chronic Pulmonary Diseases Prediction System

Open Access Peer Reviewed Crossref DOI

Authors

  • Dhivya11
  • Malavika T2
  • Pavithra3
  • Sridevi4
  • Dr. S. Senthil kumar5

1234Department of Electronics and Communication Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamilnadu, India. 5Assistant Professor, Department of Electronics and Communication Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamilnadu, India.

Article Information

Published Online
March-April 2023
Pages
671-674
Article Type
Research Article
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Abstract

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Abstract: Smart breath analyzers are developed as sensing terminals of a telemedicine architecture devoted to remote monitoring of patients suffering from Chronic Obstructive Pulmonary Disease (COPD). The devices based on different sensors CO2, smoke sensor and Volatile Organic Compounds (VOCs), relative humidity and temperature (R.H. & T) and heart rate, respiration sensors) monitor the breath air exhaled into the expiratory line of the bi-tube patient breathing circuit. The sensor raw signals are transmitted to national health service units / Doctor by TCP/IP communication through a cloud remote platform using IoT module space.The work is a proof-of-concept of a sensors-based IoT system with the perspective to predict continuously the effectiveness of monitoring and/or any state of exacerbation of the disease requiring healthcare. By a gas-mixing bench towards gas, smoke in environment and acetone concentrations in exhaled breath collected in a sampling bag were carried out to test the realized prototypes. The paper reports on the longitudinal use of health tags among high- risk COPD patients in the indoor & outdoor environment using PIC16F877A microcontroller.

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