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Zhang et al., 2010 - Google Patents

A CWT-based SSVEP classification method for brain-computer interface system

Zhang et al., 2010

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Document ID
1953114388691200809
Author
Zhang Z
Li X
Deng Z
Publication year
Publication venue
2010 International Conference on Intelligent Control and Information Processing

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Snippet

Continuous wavelet transform (CWT) is used in this paper for steady-state visual evoked potential (SSVEP) detection in a brain-computer interface (BCI) system. The developed BCI system is designed for the remote control of humanoid robot through wireless sensor …
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Classifications

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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0476—Electroencephalography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/7235—Details of waveform analysis
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    • A61B5/7257—Details of waveform analysis characterised by using transforms using Fourier transforms
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    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
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