An Advanced Air Quality Monitoring and Health Care for Asthma

Abstract

Asthma is a chronic, often devastating, condition his has no cure and causes a remarkable Economic burden to the associated family as well as to the government and state. Poor air Quality(AQ) is one of the sources that is causing health issues which induce multiple irritating or vital symptoms and diseases such as asthma, allergies, and even cancers. Thus, the devices related to personal air quality monitoring is getting more attention in recent era. But it can be controlled and managed with personal diagnostic of triggering factors of asthma and through tobacco smoke etc. Asthma attack triggered factors of asthma and through preventive care. Sometimes it is as simple avoiding air pollutants like dust, tobacco smoke etc. Asthma attack triggered from air pollution could easily be avoided if there is a way to monitor air pollution level continuously in the surroundings. In this project, we have presented a system that will be able to predict possible asthma attack for individuals and alert them. The system is developed using an air pollutant monitoring device combined with an android application. This system presents a prototype of such a monitoring system that enables patients suffering from asthma or their care-takers to Monitor the environment, keep an eye on the trigger. factors an managing their medication, as well alerting the medics, in case of an emergency where the patient requires immediate attention as in case of a sudden asthma attack.

Introduction

I. INTRODUCTION

Introduction to an Asthma Monitoring System Incorporating ESP32 Technology. Asthma, a respiratory condition, is primarily influenced by genetic factors and can be triggered by allergies, resulting in breathing difficulties and restricting physical activities across all age groups. Despite advancements in               healthcare infrastructure in Indian Hospitals, there remains a scarcity of doctors, with less than one doctor for every 1000 individuals, as recommended by the World Health             Organization. Consequently, asthma has emerged as a leading cause of hospitalizations. The adoption of cost- effective.               sensor-based        solution holds significant promise in managing this condition.

This paper presents a cost-efficient, portable health monitoring system tailored for asthma management, proficient in detecting abnormalities and issuing alert notifications. To alleviate the burden and maintenance costs associated with medical servers, vital signs are monitored. Sensor data is collected and monitored in this compact device, enabling real-time tracking of the patient’s condition remotely, with emergency alerts promptly dispatched to ensure patient well-being.

By the proposed method, we can able to introduce advancement in wearable band for for asthma monitoring augmented by an alert system employing ESP32 technology and an LCD display, ensuring  timely medical intervention when necessary. Sensor data can be effortlessly monitored using the Blynk mobile application, an IoT platform  customized for Android devices connected to internet. Each prototype is associated with a unique username and password, facilitating automatic connection to designated android devices. Multiple devices can be linked to a single patient, enabling simultaneous alerts to healthcare professionals and caregivers. Real-time data from connected devices can be monitored through the Blynk application,    facilitating remote             patient monitoring and immediate emergency responses, ultimately enhancing              patient care and potentially saving lives.

II. METHODOLOGY

A. Proposed Block

IV. RESULTS & DISCUSSION

Access to real-time air quality data empowers individuals to understand and avoid triggers, reducing the frequency and severity of asthma Symptoms. This proactive approach improves asthma control and overall management, enhancing quality of life. Healthcare providers can now tailor treatment plans based on individual sensitivities and environmental Exposures. This personalized approach optimises treatment efficacy, leading to better outcomes and medication adherence for patients. Advanced monitoring systems for asthma exacerbations, detecting changes in air quality parameters. Timely interventions based on these alerts prevent exacerbations; reducing reliance on emergency healthcare services. Integration of air quality data with healthcare systems generates valuable insights for public health initiatives. Analysis of large datasets identifies trends and risk factors associated with asthma exacerbations, Informing evidence-based policies to reduce air pollution and protect vulnerable populations. Access to real-time air quality data empowers individuals to take control of their health by understanding environmental impacts on asthma. Educational programs raise awareness about indoor and outdoor air quality, promoting behaviour changes for better health outcomes.

Conclusion

This paper successfully acquired physiological parameters, including moisture content, smoke, dust, and temperature, from patients within the environment. These parameters were processed using Arduino IDE and then transmitted via cloud computing to a remote health-care site, where they were visualized on an LCD display.

References

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Copyright

Copyright © 2024 Selvendran G, Vanjith K, Rithika S, Jeeva A, Swetha M. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.