Fractal behaviour of heart rate variability reflects abnormal respiration patterns in OSAS patients

Giovanni D'Addio, Agostino Accardo, Elisa Fornasa, Mario Cesarelli, Alberto De Felice

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

Abstract

Although heart rate variability (HRV) decreasing has been usually described in obstructive sleep apnea syndrome (OSAS), some studies have recently questioned the validity of spectral HRV analysis in presence of respiratory and arrhythmic disorders. Fractal analysis of HRV is an emerging nonlinear technique overcoming these limitations and allowing short term HRV assessment during hypo/apnea phases. The aim of this study is to analyse the Fractal features in sleep apnea in order to find as these characteristics could change during abnormal respiration patterns in OSAS. We studied 30 polysomnographic recordings of severe OSAS (AHI≥30) pts. (age 55±9) and 10 PR of normal subjects (age 46±4). Hypo/apnea phases and related beat-to-beat time series have been detected and classified by automated algorithms and manually verified by expert technicians. Fractal analysis was performed by the Higuchi algorithm (FD). Results showed that while FD does not significantly differ between Normals (1.61±0.09) and normal breath epochs in OSAS, it significantly (p

Original languageEnglish
Title of host publicationComputing in Cardiology
Pages445-448
Number of pages4
Volume40
Publication statusPublished - 2013
Event2013 40th Computing in Cardiology Conference, CinC 2013 - Zaragoza, Spain
Duration: Sep 22 2013Sep 25 2013

Other

Other2013 40th Computing in Cardiology Conference, CinC 2013
CountrySpain
CityZaragoza
Period9/22/139/25/13

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Computer Science(all)

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    D'Addio, G., Accardo, A., Fornasa, E., Cesarelli, M., & De Felice, A. (2013). Fractal behaviour of heart rate variability reflects abnormal respiration patterns in OSAS patients. In Computing in Cardiology (Vol. 40, pp. 445-448). [6713409]