Contribution of Timescale Patterns to Photoplethysmography-based Blood Pressure Estimation DOI Creative Commons
Xiaoman Xing, Rui Huang, Chenyu Jiang

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 10, 2023

Abstract Objective: Single-site photoplethysmography (PPG)-based blood pressure (BP) estimation has raised a lot of interest due to its compactness and low cost. However, this method relies on PPG morphological features, which are sensitive noise measurement conditions. The underlying physiological mechanism was also unclear at moment. In study, we propose add timescale patterns improve the BP performance clarify mechanism. Methods: In-silico simulation with four-element Windkessel model showed that peripheral resistance vascular compliance variation during cardiac cycle correlated PPG’s long- short-term self-similarity, significantly BP. A publicly available dataset used validate predictions using mutual information analysis regression assessment. Results: hemodynamic property cardiovascular system determines how fast responds stimulus. High or leads prolonged overlapped responses, could be described by patterns. Adding these increased PPG-BP improved performance. Compared algorithms biometric mean absolute error (MAE) calibrated systolic (SBP) reduced from 5.37mmHg 4.51mmHg, while MAE calibration-free diastolic (DBP) 3.46mmHg 2.81mmHg. median intra-subject correlation between SBP/DBP ground truth 0.63/0.34 0.80/0.68, means intrinsic fluctuation better captured. Conclusion : Timescale were vital single-site PPG-based estimation. Understanding implication may help us design clear interpretability simplified structures.

Language: Английский

Contribution of Timescale Patterns to Photoplethysmography-based Blood Pressure Estimation DOI Creative Commons
Xiaoman Xing, Rui Huang, Chenyu Jiang

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 10, 2023

Abstract Objective: Single-site photoplethysmography (PPG)-based blood pressure (BP) estimation has raised a lot of interest due to its compactness and low cost. However, this method relies on PPG morphological features, which are sensitive noise measurement conditions. The underlying physiological mechanism was also unclear at moment. In study, we propose add timescale patterns improve the BP performance clarify mechanism. Methods: In-silico simulation with four-element Windkessel model showed that peripheral resistance vascular compliance variation during cardiac cycle correlated PPG’s long- short-term self-similarity, significantly BP. A publicly available dataset used validate predictions using mutual information analysis regression assessment. Results: hemodynamic property cardiovascular system determines how fast responds stimulus. High or leads prolonged overlapped responses, could be described by patterns. Adding these increased PPG-BP improved performance. Compared algorithms biometric mean absolute error (MAE) calibrated systolic (SBP) reduced from 5.37mmHg 4.51mmHg, while MAE calibration-free diastolic (DBP) 3.46mmHg 2.81mmHg. median intra-subject correlation between SBP/DBP ground truth 0.63/0.34 0.80/0.68, means intrinsic fluctuation better captured. Conclusion : Timescale were vital single-site PPG-based estimation. Understanding implication may help us design clear interpretability simplified structures.

Language: Английский

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