Scalpnet: Detection of Spatiotemporal Abnormal Intervals in Epileptic EEG Using Convolutional Neural Networks.
Takahiko SakaiTaku ShojiNoboru YoshidaKosuke FukumoriYuichi TanakaToshihisa TanakaPublished in: ICASSP (2020)
Keyphrases
- convolutional neural networks
- epileptic seizures
- eeg signals
- anomaly detection
- detection accuracy
- eeg data
- spatial and temporal
- automatic detection
- detection rate
- object detection
- detection algorithm
- detection method
- space time
- brain activity
- false alarms
- abnormal behavior
- false positives
- signal processing
- spatio temporal
- event related potentials
- data sets
- face detection
- learning algorithm