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Photoplethysmography-Based Blood Pressure Estimation Using Deep Learning.
Weinan Wang
Li Zhu
Fatemeh Marefat
Pedram Mohseni
Kevin L. Kilgore
Laleh Najafizadeh
Published in:
ACSSC (2020)
Keyphrases
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deep learning
blood pressure
heart rate
unsupervised learning
unsupervised feature learning
machine learning
risk factors
weakly supervised
deep architectures
blood glucose
multiscale
mental models