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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Detalles Bibliográficos
Autores principales: Lee, Soojeong, Moon, Hyeonjoon, Al-antari, Mugahed A., Lee, Gangseong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654728/
https://www.ncbi.nlm.nih.gov/pubmed/36366083
http://dx.doi.org/10.3390/s22218386

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654728/
https://www.ncbi.nlm.nih.gov/pubmed/36366083
http://dx.doi.org/10.3390/s22218386

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