Unsupervised Approach for the Identification of the Predominant Site of Upper Airway Collapse in Obstructive Sleep Apnoea Patients Using Snore Signals.
Arun SebastianPeter A. CistulliGary CohenPhilip de ChazalPublished in: EMBC (2021)
Keyphrases
- obstructive sleep apnea
- sleep apnea
- sleep stage
- website
- eeg signals
- quantitative analysis
- unsupervised learning
- physiological parameters
- semi supervised
- physiological data
- medical data
- physiological signals
- blood pressure
- signal processing
- heart rate
- ct images
- supervised learning
- medical care
- neural network
- unsupervised manner
- intensive care
- medical records
- vital signs
- normal subjects
- data driven
- active learning