A Novel Respiratory Rate Estimation Algorithm from Photoplethysmogram Using Deep Learning Model

A Novel Respiratory Rate Estimation Algorithm from Photoplethysmogram Using Deep Learning Model

Respiratory rate (RR) is a critical vital sign that can provide valuable insights into various medical conditions, including pneumonia. Unfortunately, manual RR counting is often unreliable and discontinuous. Current RR estimation algorithms either lack the necessary accuracy or demand extensive win...

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Bibliographic Details
Main Authors: Wee Jian Chin, Ban-Hoe Kwan, Wei Yin Lim, Yee Kai Tee, Shalini Darmaraju, Haipeng Liu, Choon-Hian Goh
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Diagnostics
Subjects:
photoplethysmogram
respiratory rate
deep learning
neural network
Online Access:https://www.mdpi.com/2075-4418/14/3/284

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