Application and contrast in brain-computer interface Between hilbert-huang transform and wavelet transform

Manling Huang*, Pingdong Wu, Ying Liu, Luzheng Bi, Hongwei Chen

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

41 引用 (Scopus)

摘要

Brain-Computer Interface (BCI) can make people control machines through Electroencephalogram (EEG) which is produced by brain activities. It provides a new communication method between human and environment and extends 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 residts 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 and obtain local and instantaneous frequency of EEG.

源语言英语
主期刊名Proceedings of the 9th International Conference for Young Computer Scientists, ICYCS 2008
1706-1710
页数5
DOI
出版状态已出版 - 2008
活动9th International Conference for Young Computer Scientists, ICYCS 2008 - Zhang Jia Jie, Hunan, 中国
期限: 18 11月 200821 11月 2008

出版系列

姓名Proceedings of the 9th International Conference for Young Computer Scientists, ICYCS 2008

会议

会议9th International Conference for Young Computer Scientists, ICYCS 2008
国家/地区中国
Zhang Jia Jie, Hunan
时期18/11/0821/11/08

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