International Research Journal of Engineering and Technology (IRJET) Volume: 12 Issue: 06 | Jun 2025
e-ISSN: 2395-0056
www.irjet.net
p-ISSN: 2395-0072
An IoT-Based System for Early Detection and Management of Respiratory Diseases in Public Spaces Alan Don Benny1, H.S Anuja M.E,2 1PG Scholar, BioMedical Engineering, Udaya school of engineering, Kanyakumari. 2Professor BioMedical department, Udaya school of engineering, Kanyakumari. -----------------------------------------------------------------------***--------------------------------------------------------------------particularly in densely populated urban areas. Abstract — Effective management of respiratory
Conditions such as asthma, chronic obstructive pulmonary disease (COPD), and acute respiratory infections pose significant public health challenges due to their prevalence, potential for rapid deterioration, and the burden they place on healthcare systems. Early detection and timely intervention are critical in managing these diseases effectively and preventing severe complications. With the rapid advancement of digital health technologies, the Internet of Things (IoT) has emerged as a transformative approach in healthcare, enabling real-time, continuous monitoring of physiological parameters. IoT-based systems offer the ability to remotely collect, transmit, and analyze health data, thereby facilitating proactive healthcare delivery and reducing the dependence on traditional, hospitalcentric models. This paper introduces a smart, integrated IoT system designed to monitor respiratory health in real-time within public environments such as shopping malls, where the risk of respiratory incidents may be elevated due to crowd density and environmental factors. The proposed system incorporates multiple sensors to capture key physiological indicators, including breathing patterns, oxygen (O₂) and carbon dioxide (CO₂) levels, heart rate, blood pressure, and body temperature. These sensors are connected to a central control unit that transmits the data to a secure cloud platform for storage and analysis. By enabling continuous, non-invasive monitoring, the system allows for early detection of respiratory abnormalities and rapid response through automated alerts sent to healthcare providers, caregivers, or individuals themselves. The integration of cloud analytics further supports predictive insights and longterm health trend analysis, which are vital for preventive care and public health planning. [1]. Intermittent exacerbations and episodic respiratory symptoms are hallmarks of respiratory disorders. The frequency and severity of respiratory disorders' symptoms, airflow restriction, and exacerbations vary widely. In order to recognize exacerbations early and monitor the daily management of respiratory disorders, it is essential to
disorders requires early detection and prompt intervention, particularly in crowded public spaces like shopping malls. This article presents an intelligent, integrated system that uses the Internet of Things (IoT) to continuously monitor respiratory health. To facilitate real-time monitoring and quick reaction times, the system integrates a number of sensors, a control unit, and cloud connectivity. Numerous physiological data, including as body temperature, blood pressure, heart rate, breathing patterns, oxygen (O₂) and carbon dioxide (CO₂) levels, and lung status, are gathered by the system using IoT-enabled sensors. These sensors are placed in key locations to collect precise, up-to-date data from people in public spaces. The data is sent to a secure cloud platform for processing and analysis after it has been gathered. The system offers a thorough understanding of respiratory health indicators by combining data from several sources, enabling the early identification of anomalies or indications of respiratory distress. Real-time data analysis is supported by the cloud platform, which may also send out immediate alerts or notifications to patients, caregivers, or healthcare professionals. These notifications aid in launching prompt actions and providing tailored health advice. The capacity of this system to conduct continuous, real-time monitoring without requiring human check-ups is one of its main advantages. This lowers needless ER visits, hospital stays, and total healthcare expenses in addition to improving patient outcomes by identifying problems early. Long-term data tracking and predictive analysis for upcoming health risk assessments are further made possible by the integration of cloud analytics.
Keyword’s: Internet of Things (IoT), respiratory health monitoring, real-time surveillance, cloud computing, public health, early disease detection, physiological sensors, smart healthcare systems.
1. INTRODUCTION causes
Respiratory diseases remain one of the leading of morbidity and mortality worldwide,
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