Generalization Error of a Regression Model for Non-Invasive Blood Pressure Monitoring using a Single Photoplethysmography (PPG) Signal
Author:
Affiliation:
1. Imperial College London,Electrical and Electronic Engineering Department,United Kingdom
2. Imperial College London,UKRI Centre for Doctoral Training in AI for Healthcare,United Kingdom
Funder
Health
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340929.pdf?arnumber=10340929
Reference35 articles.
1. ECG and PPG-Based Hypertension Screening Under Non-Hypertensive Blood Pressure Recordings
2. The Relevance of Calibration in Machine Learning-Based Hypertension Risk Assessment Combining Photoplethysmography and Electrocardiography
3. Cuffless Hypertension Risk Assessment and the Significance of Calibration
4. Central Blood Pressure Estimation From Distal PPG Measurement Using Semiclassical Signal Analysis Features
5. A Machine Learning Approach to Predict Arterial Blood Pressure from Photoplethysmography Signal
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