A Programmatic Approach for Development of the ViewHRV Service Platform with Accurate and Reliable Results
Journal
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)
Date Issued
2020-09-28
Author(s)
Shaqiri, E.
DOI
10.23919/mipro48935.2020.9245419
Abstract
There are dozens of available packages and libraries that claim to calculate HRV. This paper aims at comparing the results from the calculation of a single array of intervals between normal beats, including the most popular open source Python HRV measurement packages available on GitHub. Furthermore, the same array was ran through the Kubios software and compared to the previous results. In order to compare the accuracy of the results, as a benchmark we used the C programs provided by Physionet. The results showed a huge difference in the results with almost all the indices, in fact the simplest measurement that of Standard Deviation of NN Intervals showed to be incorrect in Kubios and in most of the Python packages. Results like these are the reason we decided to develop our own package to calculate HRV. Finally, the goal of this paper is to present details on developing a publicly available web service platform ViewHRV with guaranteed precision obtaining accurate and reliable results.