Blood Pressure Assessment from Contact Photoplethysmographic Signals Using a Combination of Deep Convolutional and Recurrent Neural Networks.
Yanis MasdouaMelissa LouniciFrédéric BousefsafFeriel AbalacheChoubeila MaaouiAlain PruskiPublished in: CBMS (2023)
Keyphrases
- recurrent neural networks
- blood pressure
- heart rate
- neural network
- deep learning
- feed forward
- reservoir computing
- artificial neural networks
- echo state networks
- recurrent networks
- neural model
- cascade correlation
- feedforward neural networks
- ecg signals
- unsupervised learning
- nonlinear dynamic systems
- learning algorithm
- back propagation
- intensive care unit
- machine learning