Why the study?
Does analyzing the correlation and embedding dimensions of RR intervals in electrocardiograms detect cardiac pathologies in patients with heart failure?
Does analyzing the correlation and embedding dimensions of RR intervals in electrocardiograms detect cardiac pathologies in patients with heart failure?
Analyzing the dimensional characteristics of RR intervals in ECGs may serve as a suitable method for the provisional diagnosis of cardiac pathologies in patients with heart failure.
May support provisional HF diagnosis via RR interval correlation/embedding analysis; leaves open prospective validation before clinical use.
The possibility of detecting pathologies in patients with various types of heart failure by analyzing the correlation dimension and embedding dimension of RR intervals in electrocardiograms is estimated. Limitations of the proposed approach and methods of overcoming them are discussed. It is demonstrated that these methods are suitable for provisional diagnosis.
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Mironyuk et al. (2006) studied this question.
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