A characteristic ridge-ledge in entropy surfaces of cardiovascular time series estimated by the Norm Component Matrix algorithm

S. Zurek, P. Castiglioni, M. Kosmider, G. Parati, P. Guzik, J. Piskorski

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

Abstract

Sample entropy (SampEn) is a popular complexity measure in HRV analysis. SampEn is estimated by fixing the values of the embedding dimension 'm' and distance threshold 'r' and traditionally SampEn is calculated with m=2 and r=0.2 times the standard deviation of the series. Attempts to extend the estimates to different (m, r) pairs are hampered by the high computational burden of the traditional algorithm. We recently proposed an extremely fast Norm Component Matrix (NCM) algorithm for SampEn calculation which allows analyzing whole ranges of (m, r) values leading to entropy surfaces. This paper is the first attempt to calculate these surfaces by NCM and to describe their properties for both synthetic and physiological time series. We show that the entropy surface has a characteristic ridge-ledge structure associated with the randomness in the data.

Original languageEnglish
Title of host publicationComputing in Cardiology
Pages281-284
Number of pages4
Volume39
Publication statusPublished - 2012
Event39th Computing in Cardiology Conference, CinC 2012 - Krakow, Poland
Duration: Sep 9 2012Sep 12 2012

Other

Other39th Computing in Cardiology Conference, CinC 2012
CountryPoland
CityKrakow
Period9/9/129/12/12

    Fingerprint

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Computer Science(all)

Cite this

Zurek, S., Castiglioni, P., Kosmider, M., Parati, G., Guzik, P., & Piskorski, J. (2012). A characteristic ridge-ledge in entropy surfaces of cardiovascular time series estimated by the Norm Component Matrix algorithm. In Computing in Cardiology (Vol. 39, pp. 281-284). [6420385]