Nonlinear Dynamic Modeling in ECG Analysis: A Heuristic Guideline

Cahit Erkal; A Aydin Cecen

Nonlinear Dynamic Modeling in ECG Analysis: A Heuristic Guideline

Cahit Erkal, A Aydin Cecen

Economics

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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.

Original language	English
Pages (from-to)	359-369
Journal	Nonlinear Dynamics, Psychology, and Life Sciences
Volume	12
Issue number	4
State	Published - 2008

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title = "Nonlinear Dynamic 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.",

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AU - Cecen, A Aydin

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N2 - 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.

AB - 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.

M3 - Article

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VL - 12

SP - 359

EP - 369

JO - Nonlinear Dynamics, Psychology, and Life Sciences

JF - Nonlinear Dynamics, Psychology, and Life Sciences

SN - 1090-0578

IS - 4

ER -

Nonlinear Dynamic Modeling in ECG Analysis: A Heuristic Guideline

Abstract

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