Adaptive subject-based feature extraction in brain–computer interfaces using wavelet packet best basis decomposition
B Yang, G Yan, R Yan, T Wu�- Medical engineering & physics, 2007 - Elsevier
In this paper we discuss a subject-based feature extraction method using wavelet packet
best basis decomposition (WPBBD) in brain–computer interfaces (BCIs). The idea is to
employ the wavelet packet best basis algorithm to adapt to each subject separately. Firstly,
original electroencephalogram (EEG) signals are decomposed to a given level by wavelet
packet transform. Secondly, for each subject, the best basis algorithm is used to find the best-
adapted basis for that particular subject. Finally, subband energies contained in the best�…
best basis decomposition (WPBBD) in brain–computer interfaces (BCIs). The idea is to
employ the wavelet packet best basis algorithm to adapt to each subject separately. Firstly,
original electroencephalogram (EEG) signals are decomposed to a given level by wavelet
packet transform. Secondly, for each subject, the best basis algorithm is used to find the best-
adapted basis for that particular subject. Finally, subband energies contained in the best�…
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