Dual-Sensor Signals Based Exact Gaussian Process-Assisted Hybrid Feature Extraction and Weighted Feature Fusion for Respiratory Rate and Uncertainty Estimations

Dual-Sensor Signals Based Exact Gaussian Process-Assisted Hybrid Feature Extraction and Weighted Feature Fusion for Respiratory Rate and Uncertainty Estimations

Accurately estimating respiratory rate (RR) has become essential for patients and the elderly. Hence, we propose a novel method that uses exact Gaussian process regression (EGPR)-assisted hybrid feature extraction and feature fusion based on photoplethysmography and electrocardiogram signals to impr...

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Bibliographic Details
Main Authors: Soojeong Lee, Hyeonjoon Moon, Mugahed A. Al-antari, Gangseong Lee
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
respiration rate estimation
exact Gaussian processing regression
hybrid feature extraction
weighted feature fusion
photoplethysmography
electrocardiogram
Online Access:https://www.mdpi.com/1424-8220/22/21/8386

Internet

https://www.mdpi.com/1424-8220/22/21/8386

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