Difference in properties of Poincaré plot graphs between male and female subjects

We tested sex differences in Generalized Poincaré plot graphs, obtained by low pass filtering of RR interval time series, recorded from twenty male and twenty female subjects. We used seven measures: four were related to graph geometrical properties (Pearson’s coefficient; SD1; SD2; SD2/SD1); three to graph complexity (normalized number of edge crossings; directional complexity and directional entropy). Differences were detected in 2/4 geometric measures in nonfiltered graphs, where males had higher values than females. The graphs differed in 3/3 complexity measures, both in their moderately and heavily filtered forms, where higher values were detected in females. This result may be useful for potential future sex-tailored diagnstics and therapies of cardio-vascular diseases.

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Published
2024-10-23
DOI
https://doi.org/10.1109/esgco63003.2024.10767009
Primary Topic
Advanced Graph Theory Research
Type
article
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article

Difference in properties of Poincaré plot graphs between male and female subjects

Tijana Bojić, Zoran Matić, E. Suljovrujić, Aleksandar Kalauzi
Advanced Graph Theory Research
article

Difference in properties of Poincaré plot graphs between male and female subjects

Tijana Bojić, Zoran Matić, E. Suljovrujić, Aleksandar Kalauzi
article en

Abstract

We tested sex differences in Generalized Poincaré plot graphs, obtained by low pass filtering of RR interval time series, recorded from twenty male and twenty female subjects. We used seven measures: four were related to graph geometrical properties (Pearson’s coefficient; SD1; SD2; SD2/SD1); three to graph complexity (normalized number of edge crossings; directional complexity and directional entropy). Differences were detected in 2/4 geometric measures in nonfiltered graphs, where males had higher values than females. The graphs differed in 3/3 complexity measures, both in their moderately and heavily filtered forms, where higher values were detected in females. This result may be useful for potential future sex-tailored diagnstics and therapies of cardio-vascular diseases.

University of Pisa (IT), Piaggio (Italy) (IT), University of Belgrade (RS), Institute for Multidisciplinary Research
Gender equality
Openalex Percentile: Top 74%
Advanced Graph Theory Research
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