{
  "abstract": "Purpose: Heart rate variability (HRV) may provide information beyond heart rate (HR) for identifying arrhythmia burden, but the value of temporal HRV variation remains unclear. This study developed a dynamic HRV measure quantifying the interquartile range of window-level root mean square of successive RR-interval differences (IQRRMSSD) and evaluated its utility in classifying total abnormal-beat and premature ventricular contraction (PVC) burden compared with the conventional RR-based HRV measure, RMSSD. Methods: Manually annotated 30-minute ECG recordings from 43 individuals were analyzed using overlapping windows. A linear support vector classifier was used to classify individuals as having high or low arrhythmia burden, defined using 1% and 10% burden thresholds. Four feature sets were evaluated: HR alone, HR with RMSSD, HR with IQRRMSSD, and all three measures. Performance was assessed using repeated stratified five-fold cross-validation. Results: HRV-containing feature sets generally outperformed HR alone, depending on outcome and threshold. At the 1% threshold, IQRRMSSD showed particularly high sensitivity for total abnormal-beat and PVC burden ($0.970 \\pm 0.064$ and $0.882 \\pm 0.193$, respectively). At the 10% threshold, conventional RMSSD showed the strongest overall discrimination, achieving a ROC-AUC of 0.947 for PVC burden. Combined features sometimes improved the sensitivity-specificity balance but not overall discrimination. Conclusion: These findings suggest that a conventional RR-based HRV measure is informative for elevated ectopic burden, while a dynamic HRV measure may provide complementary information for lower-burden abnormalities.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.35843",
  "author_total": 3,
  "authors": [
    {
      "name": "Brian Kang"
    },
    {
      "name": "Michael Wacker"
    },
    {
      "name": "Steven S. Kang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4r5et5v7ntng1.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.35843",
  "fulltext_url": null,
  "id": "4r5et5v7ntng1",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.35843",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "q-bio.QM"
    ],
    [
      "openalex",
      "2705|Heart Rate Variability and Autonomic Control"
    ]
  ],
  "openalex": "W7223909884",
  "pdf_url": "https://arxiv.org/pdf/2610.35843",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-27",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/4r5et5v7ntng1.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:35:56Z",
      "native_id": "2610.35843",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.35843"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "arxiv:q-bio.QM",
      "subfield": "bioinformatics"
    }
  ],
  "title": "Dynamic heart rate variability for classification of arrhythmia burden",
  "title_text": "Dynamic heart rate variability for classification of arrhythmia burden",
  "type": "preprint",
  "updated_at": "2026-10-30T12:35:56Z",
  "url": "https://research.draconitic.com/paper/4r5et5v7ntng1",
  "venue": "arXiv",
  "versions": []
}