Feature optimization based on improved novel global harmony search algorithm for motor imagery electroencephalogram classification.
Bin ShiXiaokai ChenZan YueFeixiang ZengShuai YinBenguo WangJing WangPublished in: Frontiers Comput. Neurosci. (2022)
Keyphrases
- motor imagery
- eeg signals
- harmony search algorithm
- brain computer interface
- eeg data
- harmony search
- numerical optimization
- feature vectors
- classification accuracy
- feature set
- optimization algorithm
- pattern recognition
- healthy subjects
- brain activity
- svm classification
- metaheuristic
- support vector machine svm
- optimization problems
- global optimization
- evolution strategy
- optimization method
- signal processing
- image features
- support vector machine
- genetic algorithm