A novel method for predicting bradycardia and atrial fibrillation using fuzzy logic and arduino supported IoT sensors

Abstract

Dormant Cardiovascular diseases (CVDs) are found to take a death toll of 17.9 million every year worldwide. We propose an application that reads the heart beat using pulse sensor. The system accumulates and analyzes data using Arduino based analyzer. The analyzer reads the pattern of heart-beat using fuzzy-normal distribution to find out whether the data belong to a normal heart or a damaged heart. The analyzer can efficiently indicate the occurrence of Bradicardia or atrial fibrillation or no disease. We have proposed an app ‘StepSuggest’ that can suggest the user about the number of steps he/she should walk during workout.

Keywords

• Internet of things
• Cardiovascular disease
• Arduino