Indoor Cardiovascular Health Monitoring System under COVID 19 Situations

Abstract

In this article, we propose a health monitoring system, especially focused on detecting myocardial infarction chances and raising the alarm when required. The device would be able to identify malfunctioning of the heart using the ECG signals taken using ARDUINO-based portable and affordable sensors. Here, we have described the development of two major schemes of health monitoring. We have developed a method of identifying the maloperation of the heart by using the second lead of the ECG signal. This method is based on a modified Poincaré analysis, which effectively distinguishes the diseased heart ECG from the normal heart ECG signals. The Poincaré-based scheme is tested using five different diseased ECG signals from the PTB database, and a high disease identification efficiency of 82% is achieved. Here we further propose implementing this analysis within the ARDUINO-based health monitoring board so that patients would get an opportunity to monitor their heart condition at some regular intervals staying at home and follow up with a physician if any abnormality is detected. This entire scheme is more useful, especially under this COVID 19, pandemic situation when moving outside the home is a challenge in itself. Hence, the proposed device would be helpful during this global crisis, especially for people residing in rural and semi-urban regions.