A Novel Unsupervised Autoencoder-Based HFOs Detector in Intracranial EEG Signals.
Weilai LiLanfeng ZhongWeixi XiangTongzhou KangDakun LaiPublished in: ICASSP (2022)
Keyphrases
- eeg signals
- brain computer interface
- motor imagery
- signal processing
- brain activity
- healthy subjects
- unsupervised learning
- restricted boltzmann machine
- kernel density estimators
- extracted features
- supervised learning
- eeg data
- data mining
- electrical activity
- image analysis
- object recognition
- machine learning
- neural network