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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Manling Huang Pingdong Wu Ying Liu Luzheng Bi Hongwei Chen |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Mech. & Vehicular Eng, Beijing Inst. of Technol., Beijing (Manling Huang; Pingdong Wu; Ying Liu; Luzheng Bi; Hongwei Chen) |
| Abstract | Brain-computer interface (BCI) can make people control machines through electroencephalogram (EEG) which produced by brain activities. It provides a new communication method between human and environment and extents human's ability to control machines. One of the key points of BCI system is how to abstract and distinguish different EEG features. Therefore, EEG signal processing method is the focus of BCI. This article analyzed Wavelet Transform method and Hilbert-Huang Transform (HHT) method. The results indicate that both these two methods can abstract the main characters of the EEG. But HHT can more accurately express EEG distribution in time and frequency domain. That's because it can produce a self-adaptive basis according to the signal data and obtain local and instantaneous frequency of EEG. |
| Starting Page | 1706 |
| Ending Page | 1710 |
| File Size | 573124 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769533988 |
| DOI | 10.1109/ICYCS.2008.537 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-11-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet transforms Steady-State Visual Evoked Potential (SSVEP) Wavelet domain Humans Communication system control Wavelet analysis Electroencephalography Brain-Computer Interface (BCI) Frequency domain analysis Hilbert-Huang Transform (HHT) Wavelet Transform Signal processing Electroencephalogram (EEG) Signal analysis Brain computer interfaces |
| Content Type | Text |
| Resource Type | Article |
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