ECG Data Visualization: Combining the power of Grafana and InfluxDB

Abstract

One of the principal advantages of smart health systems is to provide a faster and more efficient diagnosis. In this context, data visualization is an effective way to represent data and help physicians to interpret a diagnostic test result. This paper focuses on how to better visualize health data under timevarying which is sorely needed in the analysis of sensitive data, such as electrocardiograph (ECG) signals. We propose an interactive data visualization method under data manipulation. The prototype was created using the InfluxDB database management system and the Grafana tool to store and visualize ECG signals, respectively. We also provide an empirical comparison of the proposed approach to the base methods of data visualization and draw useful conclusions upon their performance.