Physically Meaningful Surrogate Data for COPD

Physically Meaningful Surrogate Data for COPD

The rapidly increasing prevalence of debilitating breathing disorders, such as chronic obstructive pulmonary disease (COPD), calls for a meaningful integration of artificial intelligence (AI) into respiratory healthcare. Deep learning techniques are “data hungry” whilst patient...

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Bibliographic Details
Main Authors: Harry J. Davies, Ghena Hammour, Hongjian Xiao, Patrik Bachtiger, Alexander Larionov, Philip L. Molyneaux, Nicholas S. Peters, Danilo P. Mandic
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
COPD
deep learning
photoplethysmography
surrogate data
wearable health
Online Access:https://ieeexplore.ieee.org/document/10417113/

Internet

https://ieeexplore.ieee.org/document/10417113/

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