Improving methodology in heart rate variability analysis for the premature infants: Impact of the time length.

ABSTRACT:

Background

Heart rate variability (HRV) has been emerging in neonatal medicine. It may help for the early diagnosis of pathology and estimation of autonomous maturation. There is a lack of standardization and automation in the selection of the sequences to analyze and some features have not been explored in this specific population. The main objective of this study was to analyze the impact of the time length of the sequences on the estimation of linear and non-linear HRV features, including horizontal visibility graphs (HVG).

Methods

HRV features were repeatedly measured with linear and non-linear methods on 2-, 5-, 10-minute sequences selected from the longest 15-min sequence and recorded on a weekly basis in 39 infants less than 31 weeks at birth. The associations between

SUBMITTER: Nguyen Phuc Thu T 

PROVIDER: S-EPMC6688831 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature