Multimodal Sleep Signals-Based Automated Sleep Arousal Detection.
Guangxin ZhouRunzhi LiShuo ZhangJing WangJingzhe MaPublished in: IEEE Access (2020)
Keyphrases
- sleep stage
- eeg signals
- signal processing
- sleep apnea
- obstructive sleep apnea
- detection algorithm
- false positives
- fully automated
- detection scheme
- object detection
- low signal to noise ratio
- false alarms
- semi automated
- detection accuracy
- automated analysis
- computer vision
- detection rate
- computer aided
- multi modal
- spectral analysis
- event detection
- signal detection
- detection method
- phase locked