ARRHYTHMIA DETECTION FROM PPG SIGNALS

These days, sudden cardiac arrest is the leading cause of death worldwide,affecting a large number of people.Cardiac arrhythmias can be diagnosed with Electrocardiogram (ECG). No one will have ECG machines in home and it also requires the electrodes to stick at appropriate places and will take time to analyze the ECG. Meanwhile, after the COVID pandemic, most of people are using finger pulse oximeter to check their vitals. Since there is a correlation between Electrocardiogram (ECG) and plethsymogram(PPG), it can be used to detect serious arrhythmias. A wearable finger pulse oximeter uses spectrophotometry and plethysmography to determine the oxygen saturation level and pulse rate. My objective is to build a wearable finger pulse oximeter with an MAX30102 pulse oximeter sensor and Arduino microcontroller that detects major cardiac arrhythmias with the help of the signal processing tool Neurokit. With the help of this project, I hope arrhythmias can be detected early and save lives with proper treatment.