Qualitative analysis of pulsograms by fractility indices

2021

Full text Open access: Green Metadata (CSL-JSON)
DOI 10.1117/12.2617387
Data confidence 85 high
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

The article explores the possibility of applying modifications to the R/S- analysis method for pulsogram processing under conditions where the noise level is unknown. It is shown that a fast algorithm for calculating the Hirst coefficient can be used to estimate the noise level in a pulse signal. The R/S-analysis method for pulsogram processing has been improved by optimizing the initial conditions, which makes it possible to select the required pulse wave registration interval.