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Reseach Article
Optimal RR-Interval Data Length for Entropy based Heart Rate Variability Analysis
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 123 - Number 14 |
| Year of Publication: 2015 |
| Authors: Manjit Singh, Butta Singh, Gurpreet Singh |
10.5120/ijca2015905667
|
Manjit Singh, Butta Singh, Gurpreet Singh . Optimal RR-Interval Data Length for Entropy based Heart Rate Variability Analysis. International Journal of Computer Applications. 123, 14 ( August 2015), 39-42. DOI=10.5120/ijca2015905667
Abstract
Heart Rate Variability (HRV) is defined as the variations between consecutive instantaneous heart rates that occur in the heart as a consequence of a complex internal dynamic balance. Nonlinear analysis of HRV is helpful to assess the cardiac health noninvasively. Approximate Entropy and Sample Entropy are mathematical algorithms to measure the predictability or repeatability with in a time series. This paper compares the approximate entropy and sample entropy on different data lengths, which are 20 minutes, 10 minutes, 5 minutes, 3 minutes and 2 minutes respectively. In addition it has been observed that the measuring time of sample entropy can be reducing beyond 5 minutes.
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