EEG feature extraction based on wavelet packet decomposition for brain computer interface

By Wu Ting, Guo-zheng Yan, Banghua Yang, Sun Hong. 2008

367 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Human-Computer Interaction, Signal Processing

View Paper: https://www.semanticscholar.org/paper/741dc3de86df198fc4d7270f1885e064fafcd85d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Luis F. Nicolás-Alonso
2. M. Zhou
3. Jaime Gómez Gil
4. Taiyong Li
5. Keum Shik Hong
6. Noman Naseer

In Human-Computer Interaction

1. Luis F. Nicolás-Alonso
2. Jaime Gómez Gil

In Signal Processing

1. Luis F. Nicolás-Alonso
2. M. Zhou
3. Jaime Gómez Gil

Citations in the corpus

• Brain Computer Interfaces, a Review (2012, methodology): “Besides MLP, different types of ANN architecture have been used in the design of BCI systems such as Probabilistic Neural Networks (PNN) [253, 254], Fuzzy ARTMAP Neural Networks [255], Finite Impulse Response Neural Networks (FIRNN) [251] or Probability estimating Guarded Neural Classifiers (PeGNC) ”
• ECG Classification Using Wavelet Packet Entropy and Random Forests (2016, background): “Entropies from WPD have been demonstrated to have a powerful ability to represent the intrinsic characteristics of electroencephalogram (EEG) signals [35,36].”