Characterization of apnea events in sleep breathing disorder by local assessment of the fractal dimension of heart rate

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

Abstract

Aim of this work is to describe a novel method for estimating overnight modulations of fractal dimension (FD) of R-R intervals (RRI), and to evaluate if these FD estimates may characterize different apnea types in sleep studies. Polysomnographies were performed in 10 patients with severe obstructive sleep apnea syndrome. Both obstructive (OS) and mixed (MX) apneas were found in all patients. The FD of RRI interpolated series was estimated 'locally' over a running window of 15 s, overlapped by 14 s, by an algorithm based on the Mandelbrot's definition of the FD of geometric curves. The FD estimator appeared able to follow rapid changes in RRI dynamics. Moreover, it was significantly higher in OS than in MX apneas for 9 out of 10 patients (p

Original languageEnglish
Title of host publication2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
PublisherIEEE Computer Society
Pages107-108
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
CountryItaly
CityTrento
Period5/25/145/28/14

ASJC Scopus subject areas

  • Biomedical Engineering

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  • Cite this

    Castiglioni, P., Faini, A., Lombardi, C., Di Rienzo, M., Ciullo, A., De Felice, A., & D'Addio, G. (2014). Characterization of apnea events in sleep breathing disorder by local assessment of the fractal dimension of heart rate. In 2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014 (pp. 107-108). [6847542] IEEE Computer Society. https://doi.org/10.1109/ESGCO.2014.6847542