EEG Signals Feature Extraction Based on DWT and EMD Combined with Approximate Entropy

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...

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Bibliographic Details
Main Authors: Na Ji, Liang Ma, Hui Dong, Xuejun Zhang
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Brain Sciences
Subjects:
classification recognition rate
discrete wavelet transform
empirical mode decomposition
intrinsic mode functions
approximate entropy
Online Access:https://www.mdpi.com/2076-3425/9/8/201

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