Childhood epilepsy syndromes classification based on fused features of electroencephalogram and electrocardiogram.
Qianlan YangDinghan HuTianlei WangJiuwen CaoFang DongWeidong GaoTiejia JiangFeng GaoPublished in: Cogn. Comput. Syst. (2022)
Keyphrases
- eeg signals
- extracted features
- classification accuracy
- healthy subjects
- feature extraction
- feature set
- feature vectors
- feature space
- classification method
- classification process
- classification models
- feature analysis
- signal processing
- brain computer interface
- discriminative features
- pattern recognition
- benchmark datasets
- brain activity
- multiple features
- feature subset
- eeg data
- text classification
- high dimensionality
- data fusion
- machine learning
- ecg signals
- support vector
- svm classifier
- image classification
- feature reduction
- support vector machine
- automatically classify
- feature fusion
- epileptic seizures
- event related potentials
- feature values
- feature representation
- pattern classification
- classification algorithm
- class labels
- supervised learning