114- https://doi.org/10.1016/j.cmpb.2015.01.002
Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification
- Jan 30, 2015
- Computer Methods and Programs in Biomedicine
- Siuly Siuly +1 more
Abstract
Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification
- # Least Square Support Vector Machine
- # Epileptic EEG Data
- # Epileptic EEG Signal Classification
- # Epileptic EEG
- # Principal Component Analysis Feature
- # Optimum Allocation
- # Overall Classification Accuracy
- # EEG Data
- # Principal Component Analysis
- # K-nearest Neighbor Algorithm
