Why the study?
Does nonlinear dynamics analysis of ECG RR-intervals aid in the initial diagnosis of patients with heart failure?
Does nonlinear dynamics analysis of ECG RR-intervals aid in the initial diagnosis of patients with heart failure?
Nonlinear dynamics analysis of ECG RR-intervals may provide a useful tool for the initial diagnosis of heart failure.
May support initial HF diagnosis via RR nonlinear metrics; leaves open prospective validation before clinical adoption.
The methods of nonlinear dynamics are applied to reveal the pathologies of patients with different heart failures. Our approach is based on the analysis of the correlation and embedding dimensions of the RR-intervals of ECGs. We demonstrate that these characteristics are quite convenient tools for the initial diagnosis. Advantages and disadvantages of the method are discussed.
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Loskutov et al. (2007) studied this question.
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