Change Point--Aware Evaluation and Re-Calibration of PPG-Based Blood Pressure Estimation

2026-08-19

AI Summary

本文针对PPG血压估计在血压快速波动期间的性能下降问题，提出基于时间序列变化点检测的评估框架，并引入由变化点触发的目标重校准方法以提高鲁棒性。

Abstract

Non-invasive continuous blood pressure (BP) monitoring using photoplethysmography (PPG) is a promising alternative to cuff-based measurements. However, existing PPG-based BP estimation studies predominantly rely on aggregated performance metrics (e.g., mean absolute error) computed over entire evaluation intervals, which can obscure model failures during rapid BP fluctuations and limit clinical relevance. In this work, we propose a fluctuation-aware evaluation framework for PPG-based BP estimation based on time-series change point detection. Instead of heuristic BP thresholding (e.g., $Δ\mathrm{BP} > 10\mathrm{mmHg}$), we identify BP change points by capturing abrupt distributional shifts in BP trajectories and evaluate estimation performance specifically during these fluctuation periods. Our analysis shows that several state-of-the-art models exhibit substantial performance degradation around BP change points, and that periodic test-time calibration is insufficient to handle such dynamic BP variations. To address this limitation, we introduce a targeted re-calibration framework triggered by detected BP change points, improving robustness without modifying model architectures. To the best of our knowledge, this is the first systematic evaluation of PPG-based BP estimation from a BP change point perspective, highlighting the importance of fluctuation-aware evaluation and calibration for real-world continuous BP monitoring.

Problem

• PPG
• Blood Pressure Estimation
• Change Point Detection
• Performance Metrics
• Fluctuation-Aware Evaluation

Innovation

• change point detection
• fluctuation-aware evaluation
• re-calibration framework
• photoplethysmography (PPG)
• blood pressure estimation