Classification of Sleep Apnea Severity by Electrocardiogram Monitoring Using a Novel Wearable Device.
Florent BatyMaximilian BoeschSandra WidmerSimon AnnaheimPiero FontanaMartin CamenzindRené M. RossiOtto D. SchochMartin H. BrutschePublished in: Sensors (2020)
Keyphrases
- physical activity
- sleep stage
- sleep apnea
- classification accuracy
- support vector
- decision trees
- heart rate
- feature extraction
- sensor networks
- classification scheme
- automatic classification
- feature selection
- wearable devices
- activity recognition
- classification algorithm
- support vector machine svm
- text classification
- support vector machine
- feature vectors
- pattern recognition
- sensor data
- classification method
- pattern classification
- classification models
- gesture recognition
- image classification
- supervised learning
- daily activities
- real time