Exploiting IoT Data and Smart City Services for Chronic Obstructive Pulmonary Diseases Risk Factors Monitoring

Chronic Obstructive Pulmonary Disease (COPD) is a wide concept to describe a group of diseases which affect a normal respiratory function and cause a considerable impact on patients' life quality and healthcare costs. There are few IoT systems in the present literature that are focused on monitoring and management of COPD patients, but they are not focused on the vast amount of data that IoT generates in a large scale deployment, and the integration of Smart City services. For these reasons, this paper presents an innovative system based on Cloud Computing and Big Data technologies to integrate Smart City services into a large scale scenario. To do so, this system proposes a Big Data architecture based on Apache Spark libraries to provide data integration, storage, descriptive and predictive analysis. Also, the system provides a web interface application where users can visualize the data analysis results. They show that the data enrichment function performed on the Big Data architecture provides more information about the environment to improve decisionmaking. This way, the system helps COPD patients to get more involved into decision making process and promote an active and healthy life by recommending the least polluted area to performance their daily activities.