Blood Pressure Estimation From Beat-by-Beat Time-Domain Features of Oscillometric Waveforms Using Deep-Neural-Network Classification Models.
Ahmadreza ArghaJi WuSteven W. SuBranko G. CellerPublished in: IEEE Access (2019)
Keyphrases
- classification models
- neural network
- feature set
- blood pressure
- decision trees
- training data
- feature selection
- software quality classification
- feature extraction
- long term
- image features
- pattern recognition
- heart rate
- feature ranking
- learned models
- artificial neural networks
- feature vectors
- classification accuracy
- data warehouse
- feature space
- genetic programming
- image processing