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: IJCNN (2020)
Keyphrases
- ecg signals
- convolutional neural network
- false positives
- automatically segmented
- extracted features
- extracting features
- object detection
- image features
- detection algorithm
- mit bih arrhythmia database
- characteristic features
- textural features
- automatically extracted
- face detection
- feature extraction
- detection method
- feature vectors
- neural network
- feature set
- principal component analysis
- segmented regions
- feature space
- power line