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Assessment of Non-Invasive Blood Pressure Prediction from PPG and rPPG Signals Using Deep Learning.
Fabian Schrumpf
Patrick Frenzel
Christoph Aust
Georg Osterhoff
Mirco Fuchs
Published in:
Sensors (2021)
Keyphrases
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heart rate
deep learning
blood pressure
unsupervised learning
machine learning
mental models
weakly supervised
unsupervised feature learning
ecg signals
risk factors
multiscale
signal processing
pattern recognition
higher order
blood glucose