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Turnip, 2014 - Google Patents

Automatic artifacts removal of EEG signals using robust principal component analysis

Turnip, 2014

Document ID
3113711999034289442
Author
Turnip A
Publication year
Publication venue
2014 2nd International Conference on Technology, Informatics, Management, Engineering & Environment

External Links

Snippet

Analysis of EEG activity usually raises the problem of differentiating between genuine EEG activity and that which is introduced through a variety of external influence. These artifacts may affect the outcome of the EEG recording. In this paper, wavelet denoising and band …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0476Electroencephalography
    • A61B5/048Detecting the frequency distribution of signals
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0476Electroencephalography
    • A61B5/0484Electroencephalography using evoked response
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    • A61B5/7235Details of waveform analysis
    • A61B5/7253Details of waveform analysis characterised by using transforms
    • A61B5/7257Details of waveform analysis characterised by using transforms using Fourier transforms
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    • A61B5/0402Electrocardiography, i.e. ECG
    • A61B5/0452Detecting specific parameters of the electrocardiograph cycle
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    • A61B5/04012Analysis of electro-cardiograms, electro-encephalograms, electro-myograms
    • A61B5/04017Analysis of electro-cardiograms, electro-encephalograms, electro-myograms by using digital filtering
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    • A61B5/7203Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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