Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network.
Steven ThompsonPaul FergusCarl ChalmersDenis ReillyPublished in: CoRR (2020)
Keyphrases
- ecg signals
- convolutional neural network
- extracting features
- automatically segmented
- false positives
- extracted features
- feature extraction
- feature space
- automatically extracted
- power line
- detection algorithm
- detection method
- face detection
- image features
- feature vectors
- textural features
- neural network
- natural images
- non stationary
- classification accuracy
- segmented regions
- characteristic features
- object recognition