Preterm Birth Prediction by Classification of Spectral Features of Electrohysterography Signals using 1D Convolutional Neural Network: Preliminary Results.
Derek Kweku DegbedzuiMehmet Emin YükselAfrah Elfatih Farah MalikPublished in: SIU (2020)
Keyphrases
- spectral features
- convolutional neural network
- spectral analysis
- frequency spectrum
- hyperspectral images
- eeg data
- classification accuracy
- structural features
- face detection
- pattern classification
- feature extraction
- support vector
- support vector machine
- remote sensing images
- machine learning
- knn
- feature space
- pattern recognition
- image segmentation
- feature selection
- computer vision