This article proposes a feature extraction method for P300 detection. This method combines discrete wavelet transform (DWT) with Fisher criterion. This method, ...

This procedure enabled an accurate ERP detection in time, based on the continuous wavelet transform (CWT), which permits the accurate decomposition of EEG ...

A feature extraction method that combines discrete wavelet transform (DWT) with Fisher criterion for P300 detection and is better than the existing method ...

This article proposes a feature extraction method for P300 detection. This method combines discrete wavelet transform (DWT) with Fisher criterion. This method, ...

Feature Extraction of P300s in EEG Signal With. Discrete Wavelet Transform and Fisher Criterion. Shunying Guo, Suyun Lin, Zhihua Huang*. College of Mathematics ...

Here, we proposed an algorithm to extract informative features from EEG epochs for P300 Speller BCI by combining wavelet analysis with Fisher Criterion [21].

This paper will focus on electroencephalogram (EEG) signal analysis with an emphasis on common feature extraction techniques mentioned in the research ...

First, wavelet transform is used to decompose original EEG signals, and extract approximate coefficients as features. Second, we use Fisher distance to ...

The discrete wavelet transform (DWT) is used as a powerful denoising and feature extraction tool to detect the P300-ERPs from EEG epochs. In[1415] a ...

The aim of this paper is to design a pattern recognition based system to detect the P300 component in the EEG trials.