Relationships between linear and nonlinear indexes of heart rate variability in obstructive sleep apnea syndrome

Elisa Fornasa, Agostino Accardo, Rita Zotti, Alberto De Felice, Giovanni D'Addio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Heart rate variability (HRV) decrease has been described in patients with obstructive sleep apnea syndrome (OSAS). Nevertheless, time and frequency domain methods commonly used for HRV analysis are considered not completely reliable in case of respiratory and arrhythmic disorders. On the contrary, the nonlinear approach may supply powerful and promising tools to give a better insight of the autonomic control in OSAS. In this study, power-law β exponent, fractal dimension and approximate entropy parameters are calculated on the whole night recordings of 77 OSAS patients. The relationships between each pair of the parameters are quantified and discussed, also in comparison to the theoretical models.

Original languageEnglish
Title of host publication2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
PublisherIEEE Computer Society
Pages103-104
Number of pages2
ISBN (Print)9781479939695
DOIs
Publication statusPublished - 2014
Event2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014 - Trento, Italy
Duration: May 25 2014May 28 2014

Other

Other2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
Country/TerritoryItaly
CityTrento
Period5/25/145/28/14

ASJC Scopus subject areas

  • Biomedical Engineering

Fingerprint

Dive into the research topics of 'Relationships between linear and nonlinear indexes of heart rate variability in obstructive sleep apnea syndrome'. Together they form a unique fingerprint.

Cite this