In the study of brain computer interfaces, a novel method was proposed in this paper for the feature extraction of electroencephalogram (EEG). It was based on wavelet packet decomposition (WPD). The energy of special sub-bands and corresponding coefficients of wavelet packet decomposition were selec
✦ LIBER ✦
On Optimal Channel Configurations for SMR-based Brain–Computer Interfaces
✍ Scribed by Claudia Sannelli; Thorsten Dickhaus; Sebastian Halder; Eva-Maria Hammer; Klaus-Robert Müller; Benjamin Blankertz
- Publisher
- Springer
- Year
- 2010
- Tongue
- English
- Weight
- 334 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0896-0267
No coin nor oath required. For personal study only.
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We have studied 56-channel electroencephalograms (EEG) from three subjects who planned and performed three kinds of movements, left and right index finger, and right foot movement. Using autoregressive modeling of EEG time series and artificial neural nets (ANN), we have developed a classifier that