Blood Pressure Prediction Using Ensemble Rules during Isometric Sustained Weight Test.

ABSTRACT:

Background

Predicting beat-to-beat blood pressure has several clinical applications. While most machine learning models focus on accuracy, it is necessary to build models that explain the relationships of hemodynamical parameters with blood pressure without sacrificing accuracy, especially during exercise.

Objective

The aim of this study is to use the RuleFit model to measure the importance, interactions, and relationships among several parameters extracted from photoplethysmography (PPG) and electrocardiography (ECG) signals during a dynamic weight-bearing test (WBT) and to assess the accuracy and interpretability of the model results.

Methods

RuleFit was applied to hemodynamical ECG and PPG parameters during rest and WBT in six healthy young subjects. The WBT involv

SUBMITTER: Carrazana-Escalona R 

PROVIDER: S-EPMC9781478 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature