Signal processing and classification for identification of clinically important parameters during neonatal resuscitation.
Jarle UrdalKjersti EnganTrygve EftestølHussein KidantoLadislaus Blacy YarrotJoar EilevstjønnHege ErsdalPublished in: ICSIPA (2017)
Keyphrases
- signal processing
- pattern recognition
- classification accuracy
- maximum likelihood
- class labels
- decision trees
- classification scheme
- feature extraction
- parameter values
- pattern classification
- support vector machine
- classification algorithm
- image classification
- text classification
- benchmark datasets
- parameter estimation
- automatic classification
- signal analysis
- parameter identification
- image processing
- preprocessing
- support vector machine svm
- data sets
- filter bank
- classification systems
- support vector
- feature selection
- eeg signals
- bayesian methods
- image segmentation
- parameter settings
- cost sensitive
- hidden markov models
- classification method
- mr images
- semi supervised
- svm classifier
- model selection