“Dynamic Analysis of Heart Rate Variability through Motion Path Analysis of the Poincaré Plot”
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Autonomic Nervous System (ANS) maintains body’s homeostasis by regulating heart rate and other vital functions. Heart Rate Variability (HRV) analysis is a non-invasive method used to assess ANS activity by measuring variations between consecutive heartbeats.
Poincaré plot, a widely used HRV analysis tool, visualizes the relationship between successive heartbeats. However, conventional Poincaré plot analysis primarily relies on static statistical descriptors, such as SD1 and SD2, which measure short-term and long-term variability but fail to capture the dynamic progression of heartbeat intervals.
This paper introduces motion path analysis of the Poincaré plot, a novel approach that tracks how heartbeat intervals evolve over time. By following the sequential movement of data points, this method reveals both short-term and long-term HRV trends.
Our study demonstrates that motion path analysis detects subtle changes in heart rate patterns under different physiological conditions, such as rest and stress (e.g., head-up tilt tests). This technique offers a more comprehensive understanding of ANS activity by visualizing point-to-point transitions influenced by sympathetic and parasympathetic responses.
Motion path analysis offers a new way to visualize and interpret the complex temporal fluctuations of ANS and has potential applications in clinical research, providing deeper insight into autonomic regulation in health and disease.