Sleep Apnea Events Classification from a Dual Accelerometry System Using Deep Learning Models.
Hugo Lafaye de MicheauxJulie Fontecave JallonAurélien Bricout-SerrurierPierre-Yves GumeryPublished in: EUSIPCO (2023)
Keyphrases
- learning models
- sleep apnea
- sleep stage
- classification models
- machine learning
- machine learning algorithms
- obstructive sleep apnea
- loss function
- pattern recognition
- support vector
- machine learning models
- support vector machine
- learning tasks
- classification accuracy
- decision trees
- training set
- text classification
- pattern classification
- feature selection
- support vector machine svm
- feature vectors
- object recognition
- semi supervised learning
- learning problems
- unsupervised learning
- model selection
- image classification
- training data
- image segmentation