Complexity of RR intervals can be measured by Sample entropy (SampEn) traditionally estimated only for a limited number of points by fixing the values of the embedding dimension "m" and distance threshold "r". Recently we have proposed a new and fast Norm Component Matrix (NCM) algorithm for SampEn calculation - it allows analyzing whole ranges of (m, r) values leading to entropy surfaces. This study is aimed at the analysis of these surfaces in the scope of day-to-night variations of RR intervals complexity estimated by the NCM.
Day-to-night variations of RR intervals complexity observed in 24-h ECG Holter R
Castiglioni P
2014-01-01
Abstract
Complexity of RR intervals can be measured by Sample entropy (SampEn) traditionally estimated only for a limited number of points by fixing the values of the embedding dimension "m" and distance threshold "r". Recently we have proposed a new and fast Norm Component Matrix (NCM) algorithm for SampEn calculation - it allows analyzing whole ranges of (m, r) values leading to entropy surfaces. This study is aimed at the analysis of these surfaces in the scope of day-to-night variations of RR intervals complexity estimated by the NCM.
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