title: Nonlinear dynamical modeling in ECG analysis: a heuristic guideline.
abstract: 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.
authors.affiliation: Department of Economics, Central Michigan University, Mt Pleasant, MI 48859, USA. a.cecen@cmich.edu
authors.forename: Aydin A
authors.initials: AA
authors.lastname: Cecen
authors.forename: Cahit
authors.initials: C
authors.lastname: Erkal