Design and HDL Implementation of Pulse-Arrival-Time Estimation Using XGBoost Regression With Tree-Recycling Architecture

• Published in: IEEE access Vol. 13; pp. 27596 - 27609
• Main Authors: Choi, Hyo-Jeong, Um, Ji-Yong
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Biomedical monitoring; Blood pressure; Boosting; Co-design; Comparative studies; Computer architecture; decision tree ensemble model; Decision trees; Design for recycling; Elasticity; Estimation; extreme gradient boosting regression; field programmable gate array; Field programmable gate arrays; Hardware; hardware description language; Hardware description languages; Hardware design languages; Integrated circuits; Parameter estimation; Pulse arrival time; Real time; Regression analysis; Regression models; Regression tree analysis; Software; Training; tree-recycling architecture; Wave velocity; Waveforms

This paper presents a pulse-arrival-time (PAT) estimation scheme using Extreme Gradient Boosting (XGBoost) regression and its implementation with hardware description language (HDL). PAT is a significant metric for the estimation of pulse wave velocity (PWV) and blood pressure. We leverage morpholog...