Novel framework for real-time bedside heart rate variability analysis
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-May-2026 03:15 ET (30-May-2026 07:15 GMT/UTC)
While heart rate variability (HRV) is a standard measure of the autonomic nervous system activity, its real-time monitoring is often compromised by inter-patient variability and data contamination from procedural artifacts. Addressing these challenges, researchers from Fujita Health University developed a computational framework for robust and personalized real-time HRV analysis, adapted for clinical applications. The framework integrates each patient’s HRV indices with a mechanism to manually annotate artifact-prone periods, making the analysis accurate and patient-specific.
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