Semi-supervised automatic seizure detection using personalized anomaly detecting variational autoencoder with behind-the-ear EEG.
Sungmin YouBaek Hwan ChoYoung-Min ShonDae-Won SeoIn Young KimPublished in: Comput. Methods Programs Biomed. (2022)
Keyphrases
- semi supervised
- epileptic seizures
- anomaly detection
- eeg signals
- detecting anomalies
- automatic detection
- detect anomalies
- brain activity
- object detection
- false alarms
- detection method
- e learning
- unlabeled data
- eeg data
- unsupervised learning
- image segmentation
- video recordings
- event related potentials
- detection algorithm
- context aware
- semi supervised learning
- labeled data
- normal behavior
- brain computer interface
- motor imagery
- multi view
- optical flow
- image processing
- computer vision