A Benchmark Study of Machine Learning for Analysis of Signal Feature Extraction Techniques for Blood Pressure Estimation Using Photoplethysmography (PPG)

A Benchmark Study of Machine Learning for Analysis of Signal Feature Extraction Techniques for Blood Pressure Estimation Using Photoplethysmography (PPG)

Cardiovascular related diseases are the most significant health concern around the globe. The most crucial health indicator is blood pressure because it gives essential information about the health of a patient’s heart. Cardiovascular diseases can be detected early and prevented if blood...

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Bibliographic Details
Main Authors: Sumbal Maqsood, Shuxiang Xu, Matthew Springer, Rami Mohawesh
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
PPG
datasets
deep learning
machine learning
blood pressure
features extraction
Online Access:https://ieeexplore.ieee.org/document/9558767/

Internet

https://ieeexplore.ieee.org/document/9558767/

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