Sleep apnea detection using features from the respiration and the ecg recorded with smart-shirts.
Leila MirmohamadsadeghiSibylle FalletAndréa ButtuJonas SaugyThomas RuppRaphael HeinzerJean-Marc VesinGregoire P. MilletPublished in: BioCAS (2014)
Keyphrases
- false positives
- sleep apnea
- detection accuracy
- feature vectors
- automatic detection
- detection algorithm
- image features
- low level
- feature space
- co occurrence
- detection rate
- support vector machine classifier
- feature extraction
- object detection
- feature set
- signal processing
- anomaly detection
- neural network
- detection method
- monitoring system
- image acquisition
- heart rate