Low-Cost ECG Analyzing System

Abstract

As we are aware of the fact that a fully functional and a healthy heart is a key for a living being to remain alive. In order to monitor the proper functioning of the heart the primitive method of Electrocardiogram (ECG) can be adopted, which keeps the beats in check. The state of having an irregular heartbeat is known as Arrhythmia. The types of Arrhythmia can be apparent based on the factors that cause it. ECG signals consist of ‘PQRST’ waves. To identify the types of Arrhythmia it is vital to analyse the PQRST wave. In order to avoid fatality and to provide immediate medical assistance the ECG of the patient should be analyzed in real time. The project makes use of the AD8232 sensor alongside its interfacing with Arduino Nano to detect ECG signals. Arduino in this case is not only used as an Analog to Digital Converter (ADC) but also as a Sampler. Using Java APIs and Windowing Algorithm the intervals of the PQRST wave is thoroughly analyzed using Novel windowing algorithm. To conduct further analysis and detect the abnormalities in the captured waves it is compared with the standard ECG signals of a healthy person. The final results are shown on the system as well as on the cloud interface to improve the QoS in the healthcare system. The paper thus aims at reducing the overall treatment cost by introducing a low cost ECG Analysis System.