A Smartphone App for Real-time Heart Rate Computation from Streaming ECG/EKG data

Abstract

Cardiac disease, also known as cardiovascular disease, refers to a group of conditions that affect the heart and blood vessels. Diagnosis of cardiac disease typically involves a combination of medical history, physical examination, and various tests, such as electrocardiograms (ECG/EKG), echocardiograms, and stress tests. To address this concern, we introduce a mobile application called Smart-Health application, which can continuously monitor electrocardiogram signals and display Average Heart Rate (HR) along with the instantaneous HR. The aim of this project is to discover cardiac diseases so that doctors can monitor the accurate heart rate and take further actions based on the results. Smart-Health application typically works by collecting data from wrists or chest by electrodes. This data is then processed and analyzed to provide the user with insights into their health. We collected data from 10 participants and compared it with KardiaMobile (AliveCor®, Mountain View, CA, USA) commercial application. The error rate of the proposed algorithm depends on several factors, including the accuracy of the sensors used to capture the ECG signal, the algorithms used to process the signal, and the quality of the hardware and software components used to build the application. Experimental results show an accuracy of up to 95-99%. This Smart-Health application has the potential to improve health outcomes and reduce healthcare costs, making it a valuable tool for both individuals and healthcare providers.