Contactless sleep apnea detection in snoring signals using hybrid deep neural networks targeted for embedded hardware platform with real-time applications.
Xu LinHanrong ChengYun LuHuaiwen LuoHeng LiYukun QianLianyu ZhouLu ZhangMingjiang WangPublished in: Biomed. Signal Process. Control. (2022)
Keyphrases
- real time
- neural network
- sleep apnea
- sleep stage
- multi layer
- detection method
- pattern recognition
- automatic analysis
- detection rate
- signal detection
- smart camera
- smart card
- low cost
- anomaly detection
- phase locked
- face detection and tracking
- high speed
- embedded systems
- false alarms
- object detection
- genetic algorithm
- artificial neural networks
- physiological parameters
- control signals
- fuzzy logic
- low signal to noise ratio
- real time systems
- neural nets
- feed forward
- back propagation
- detection algorithm
- hybrid models
- control system
- signal processing
- false positives
- vision system