Brodu et al., 2011 - Google Patents
Comparative study of band-power extraction techniques for motor imagery classificationBrodu et al., 2011
View PDF- Document ID
- 18287120061030827305
- Author
- Brodu N
- Lotte F
- Lécuyer A
- Publication year
- Publication venue
- 2011 IEEE symposium on computational intelligence, cognitive algorithms, mind, and brain (CCMB)
External Links
Snippet
We review different techniques for extracting the power information contained in frequency bands in the context of electroencephalography (EEG) based Brain-Computer Interfaces (BCI). In this domain it is common to apply only one algorithm for extracting the power …
- 238000000034 method 0 title abstract description 27
Classifications
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- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7253—Details of waveform analysis characterised by using transforms
- A61B5/726—Details of waveform analysis characterised by using transforms using Wavelet transforms
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- A61B5/7257—Details of waveform analysis characterised by using transforms using Fourier transforms
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- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0402—Electrocardiography, i.e. ECG
- A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
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- A61B5/048—Detecting the frequency distribution of signals
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- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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- A—HUMAN NECESSITIES
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