Nonlinear Dynamic Modeling in ECG Analysis: A Heuristic Guideline

Cahit Erkal, A Aydin Cecen

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


We highlight some of the pitfalls involved in the analysis of electrocardiogram data (ECG) when the correlation dimension (CD) estimates are used to discriminate between various states of the human heart or to distinguish healthy dynamics from different types of arrhythmia. It is argued that due to the PQRST complex, high autocorrelation and/or short data sets, the CD estimates would be distorted when continuously sampled ECG voltage data are used instead of beat-to-beat (RR) interval series.

Original languageEnglish
Pages (from-to)359-369
JournalNonlinear Dynamics, Psychology, and Life Sciences
Issue number4
StatePublished - 2008


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