An embedded application for detection advance neurological and breathing disorders by air quality measurements in real time.

Environmental and health issues have risen as living conditions and economic growth have improved. The haze weather phenomenon is becoming a serious problem as air quality continues to deteriorate. It has been discovered that there is a possible connection or causal relationship between exposure to air pollution and neurological diseases. The haze weather phenomenon is integrated into fog as an extreme weather warning in many geographical areas. The design and implementation of an embedded multisensory system for air pollution and air quality monitoring with disease prevention warnings and alarms is presented in this paper. This device is made up of a microcontroller and various sensors formeasuring gases in the atmosphere. This system also includes a model to predict diseases in a more efficient way other than the present conventional methods. More-over an immediate alert system is also included with display and enables data collection of these sensors for future machine learning and artificial intelligence systems. [ABSTRACT FROM AUTHOR]