Assessment of joint interactions between respiration and baroreflex activity using joint symbolic dynamics in heart failure patients

Muammar M. Kabir, Elyar Ghafoori, Larisa G. Tereshchenko

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

2 Scopus citations


In this paper we employed a novel approach based on joint symbolic dynamics (JSD) to study interaction between respiratory phase and baroreflex activity. Electrocardiogram (ECG) and blood pressure recordings from six participants with history of heart failure were included in this study. First, the ECG R-peaks and systolic blood pressure indices were detected using parabolic fitting. Second, the respiratory signal was derived from Frank orthogonal ECG leads using QRS slopes and R-wave angles. Third, time series of R-R intervals and systolic blood pressure (SBP) were extracted, and respiratory phases were obtained using the Hilbert transform. Subsequently, each series was transformed into binary symbol vectors based on their successive changes and words of length '2' were formed. Baroreflex patterns were studied using word combinations representing baroreflex activity for specific changes in respiratory phases. Baroreflex activity was significantly higher for alternating low-high/high-low heart rate and SBP during inspiration as compared to continuous increase or decrease in heart rate and SBP (wiSBP=10,wiHR=01,wRP=11: 39.1±9.3% vs. wiSBP=00,wiHR=11,wRP=11: 6.4±3.9%, p<0.0001).

Original languageEnglish (US)
Title of host publicationComputing in Cardiology Conference 2015, CinC 2015
EditorsAlan Murray
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9781509006854
StatePublished - Feb 16 2015
Externally publishedYes
Event42nd Computing in Cardiology Conference, CinC 2015 - Nice, France
Duration: Sep 6 2015Sep 9 2015

Publication series

NameComputing in Cardiology
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X


Other42nd Computing in Cardiology Conference, CinC 2015

ASJC Scopus subject areas

  • Computer Science(all)
  • Cardiology and Cardiovascular Medicine


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