Artifacts classification and apnea events detection in neck photoplethysmography signals.
Irene García-LópezRenard Xaviero Adhi PramonoEsther Rodríguez-VillegasPublished in: Medical Biol. Eng. Comput. (2022)
Keyphrases
- sleep apnea
- sleep stage
- obstructive sleep apnea
- event detection
- classification accuracy
- eeg signals
- pattern classification
- support vector
- pattern recognition
- decision trees
- automatic detection
- signal processing
- support vector machine
- feature extraction
- automatic analysis
- signal detection
- machine learning
- neural network
- support vector machine svm
- feature vectors
- training data
- low signal to noise ratio
- acoustic signals
- feature selection
- computer vision