A Survey on EMD Sensitivity to SNR for EEG Feature Extraction in BCI Application

被引：3

作者：

Arasteh, Abdollah ^{[1
]}

Janghorbani, Amin ^{[1
]}

Moradi, Mohammad Hassan ^{[1
]}

机构：

[1] Amirkabir Univ Technol, Dept Biomed Engn, Tehran, Iran

来源：

2010 5TH CAIRO INTERNATIONAL BIOMEDICAL ENGINEERING CONFERENCE (CIBEC 2010) | 2010年

关键词：

COMPETITION; 2003; BRAIN; IIB;

D O I：

10.1109/CIBEC.2010.5716061

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

One of the most complicated biological signals is EEG which its processing has vast applications in Brain- Computer Interface (BCI). In this regard, P300 detection in BCI applications like BCI Speller is very important. For P300 detection in EEG, miscellaneous Single-Trial and Multi-Trial methods have been introduced, with their own advantages and disadvantages. Our purpose in this paper was to investigate Empirical Mode Decomposition-Dependent (EMD-Dependent) methods of feature extraction sensitivity to Signal to Noise Ratio (SNR) of original signal.

引用

页码：175 / 179

页数：5

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