Non-invasive Fetal ECG Signal Quality Assessment based on Unsupervised Learning Approach.
Xintong ShiKohei YamamotoTomoaki OhtsukiYutaka MatsuiKazunari OwadaPublished in: EMBC (2022)
Keyphrases
- quality assessment
- ecg signals
- unsupervised learning
- heart rate
- supervised learning
- image and video processing
- image quality
- video quality
- physiological signals
- power line
- semi supervised
- human visual system
- quality metrics
- image quality assessment
- mit bih arrhythmia database
- heart rate variability
- dimensionality reduction
- biomedical signals
- data quality
- expectation maximization
- machine learning
- beat classification
- post treatment
- databases
- eye movements
- image database
- high quality
- feature selection