Abstract:
In this study we have proposed a method to make wearable device for Asthma attack prediction by using four basic parameters associated with asthma disease. Asthma is a lung disease that interferes with breathing. The main symptoms are chest tightness, breathlessness, cough, wheezing and high mucus production. If we can make a device that should not only be wearable but also be simple and easy to use then it will be great addition in medical services for patients. In this study we used simple sensor system to obtain four basic parameters that includes EBT, Heart rate, Respiration rate and Oxygen concentration in the blood. On the basis of these four parameters, we can make a device to detect exacerbations in asthma conditions. The system was consisted of a sensor placed inside the oxygen mask that was further connected to capacitor and Arduino. Power of 5V was given through Laptop or PC. Pulse oximeter was used to calculate heart rate and O2 concentration in blood. 40 subjects were taken from which 20 were normal healthy subjects and 20 were asthma patients. For data collection and display Arduino software was used. For data analysis Mat Lab software was used. The results obtained showed the clear difference between the four parameters values for normal and healthy subjects. Using these four parameters we can make a wearable device for asthma patients to detect asthma attack.
