ArticleCardiovascular engineering and technology2025
Theoretical and Practical Aspects of the Nonlinear Dynamics' Methods of Heart Rate Variability Analyses in Tachyarrhythmia Patients Underwent Radiofrequency Catheter Ablation.
Article in Cardiovascular engineering and technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Advances in cardiac devices and bioelectronics augmented with artificial intelligence.The Journal of physiology · 2026Review
- HRV features as potential biomarkers for auxiliary diagnosis in epilepsy.Scientific reports · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study explores the use of heart rate variability (HRV) analysis, a noninvasive technique for assessing the autonomic nervous system, by applying nonlinear dynamics and chaos theory to detect chaotic behavior in RR intervals and assess cardiovascular health.
methodsEmploying the "System Analysis of Heart Rate Dynamics" (SADR) program, this research combines chaos analysis with the short-time Fourier transform to assess nonlinear dynamic parameters in HRV. It includes constructing phase portraits in Takens space and calculating measures of chaos to identify deterministic chaos indicators.
resultsThe analysis identifies distinct chaos indicators in the cardiac rhythm of healthy volunteers compared to tachyarrhythmia patients, both before and after catheter treatment. Post-radiofrequency ablation (RFA) analysis shows promise as a predictive tool for arrhythmia recurrence.
conclusionsThe findings suggest that HRV analysis, through nonlinear dynamics, can be an effective noninvasive method for predicting arrhythmia recurrence following treatments like catheter ablation. This approach has the potential for early and precise detection of arrhythmia, pending further validation.
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