Deep recurrent neural network-based autoencoder for photoplethysmogram artifacts filtering.
Joseph AzarAbdallah MakhoulRaphaël CouturierJacques DemerjianPublished in: Comput. Electr. Eng. (2021)
Keyphrases
- neural network
- artifact reduction
- recurrent neural networks
- filtering algorithm
- feed forward
- high quality
- information filtering
- noise removal
- adaptive filtering
- filtering process
- artificial neural networks
- multiresolution
- markov random field
- software development
- database
- artificial intelligence
- feedforward neural networks
- deep learning
- learning algorithm
- multi unit combinatorial auctions