Heart rate variability analysis method and device based on partition fitting of a poincare plot
By dividing the Poincaré diagram into four regions and calculating the ratio of the area of the quarter ellipse, the problem that traditional methods cannot reflect the nonlinear characteristics of heart rate is solved, and the accurate measurement of heart rate variability and effective assessment of fetal health status are achieved.
CN118260686BActive Publication Date: 2026-07-21ZHEJIANG UNIV
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG UNIV
- Filing Date
- 2024-01-26
- Publication Date
- 2026-07-21
AI Technical Summary
Technical Problem
Traditional ellipse fitting Poincaré plot methods cannot effectively reflect the nonlinear characteristics of heart rate and cannot accurately reflect heart rate variability.
Method used
The Poincaré plot is divided into four regions, and a quarter ellipse is fitted to each region. The ratio of the sum of the areas of the quarter ellipses on both sides of the minor axis to the area of the complete ellipse is calculated to reflect the heart rate variability when the heart rate is high and low.
Benefits of technology
By fitting Poincaré plots to different regions, heart rate asymmetry can be measured more accurately, reflecting the nonlinear characteristics of heart rate and providing important monitoring and assessment data for fetal health.
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Figure CN118260686B_ABST
Abstract
The application discloses a heart rate variability analysis method and device based on partition fitting of Poincare plot, draws a Poincare plot by taking two adjacent values in a heart rate signal time sequence as the horizontal and vertical coordinates of a scatter point, calculates the semi-major axis, semi-minor axis and area of an ellipse by fitting the scatter point distribution of the Poincare plot with the ellipse, divides the Poincare plot into four regions according to the major axis and minor axis of the ellipse, calculates the semi-major axis, semi-minor axis and area of a 1 / 4 ellipse by fitting the scatter point distribution of each region with the 1 / 4 ellipse respectively, then calculates the ratio of the sum of the areas of the two 1 / 4 ellipses to the area of the complete ellipse on both sides of the minor axis of the ellipse, and obtains the nonlinear feature of heart rate variability. In the challenging fetal heart rate variability analysis task, the nonlinear feature obtained by the technical scheme of the application shows a higher significant difference between normal and pathological fetal heart rate signals than traditional features.
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