EEGWaveNet: Multiscale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection.
Punnawish ThuwajitPhurin RangpongPhattarapong SawangjaiPhairot AutthasanRattanaphon ChaisaenNannapas BanluesombatkulPuttaranun BoonchitNattasate TatsaringkansakulThapanun SudhawiyangkulTheerawit WilaiprasitpornPublished in: IEEE Trans. Ind. Informatics (2022)
Keyphrases
- multiscale
- epileptic seizures
- feature extraction
- eeg signals
- image processing
- wavelet transform
- frequency analysis
- brain activity
- detection algorithm
- object detection
- feature vectors
- image classification
- automatic detection
- detection method
- feature extraction and classification
- eeg data
- canny edge detection
- space time
- spatial and temporal
- image representation
- moving objects
- scale space
- preprocessing
- video recordings
- principal component analysis
- cellular neural networks
- anomaly detection
- affine invariant
- coarse to fine
- feature selection
- brain computer interface
- false positives
- video sequences
- image sequences
- linear feature extraction