Indices of symbolic dynamic distribution in cardiac patients

Gianni D'Addio, M. Romano, R. Maestri, P. Bifulco, M. Cesarelli

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


Although symbolic dynamics analysis (SDA) has been proposed for encoding words of different length and symbols, the resulting rapidly growing number of patterns has limited its clinical use. Aim of this study is to propose new SDA indices tested on a clinical data-set. We studied 40 ECG Holter of normal (NR), post-MI (MI), heart failure (HF) and transplanted (TR) subjects. RR differences were encoded into 5 symbols, deriving 3, 5 and 7 length words classified by a dominance's criterion in pattern words with a predominant vagal content (V), decelerating content (D), accelerating content (A), sympathetic content (S) and without variability content (0). Their distributions were then quantified by Kurtosis an Chi-square indexes. Results showed an optimum word-length of 3, where both Kurtosis (2.2±0.6; 2.2±0.9; 3.1±0.9; 4.0±0.4) and Chi-square (7±5; 8±5; 26±17; 106±42, respectively for N, MI, HF and TR) showed very significant p

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


Other2013 40th Computing in Cardiology Conference, CinC 2013

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Computer Science(all)


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