EEG Signals Feature Extraction Based on DWT and EMD Combined with Approximate Entropy
The classification recognition rate of motor imagery is a key factor to improve the performance of brain−computer interface (BCI). Thus, we propose a feature extraction method based on discrete wavelet transform (DWT), empirical mode decomposition (EMD), and approximate entropy. Firstly, t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-08-01
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| Series: | Brain Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3425/9/8/201 |