Detection of Obstructive Sleep Apnoea Using Features Extracted From Segmented Time-Series ECG Signals With a One Dimensional Convolutional Neural Network.
Steven ThompsonDenis ReillyPaul FergusCarl ChalmersPublished in: IEEE Access (2024)
Keyphrases
- ecg signals
- convolutional neural network
- extracting features
- false positives
- extracted features
- automatically segmented
- automatically extracted
- feature set
- feature extraction
- feature vectors
- feature space
- heart rate
- characteristic features
- non stationary
- textural features
- svm classifier
- neural network
- moving objects