Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform.
Muhammad Tariq SadiqXiaojun YuZhaohui YuanZeming FanAteeq Ur RehmanGuoqi LiGaoxi XiaoPublished in: IEEE Access (2019)
Keyphrases
- eeg signals
- motor imagery
- wavelet transform
- brain computer interface
- signal processing
- online training
- kernel density estimators
- multiresolution
- healthy subjects
- linear discriminant classifier
- eeg data
- brain activity
- event related potentials
- machine learning
- wavelet coefficients
- spinal cord injury
- extracted features
- pattern recognition
- computer vision