A Survey of Analysis and Classification of EEG Signals for Brain-Computer Interfaces

被引：0
|
作者：
Ilyas, Mohd Zaizu [1 ]
Saad, Puteh [1 ]
Ahmad, Muhammad Imran [1 ]
机构：
[1] Univ Malaysia Perlis, Sch Comp & Commun Engn, Embedded Network Comp Res Cluster ENAC, Kampus Tetap Pauh, Arau 02600, Perlis, Malaysia
来源：
PROCEEDINGS 2015 2ND INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING (ICOBE 2015) | 2015年
关键词：
Brain computer-interfaces; electroencephalography(EEG); pre-processing; feature extractiong; classification; EEG/ERP;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
A Brain Computer-Interfaces (BCI) is a communication system that enables human brain to interact with machines or devices without involving physical contact by using EEG signals generated from brain activity. Selection of the processing technique of the EEG signals at each processing stage is very important to get the robust BCI system. The aim of this paper is to address the various techniques applied for BCI at each stage such as pre-processing, feature extraction and classification stage. This paper discussed the advantages, disadvantages and current trends of BCI at each stage. Finally, the initial experiment result at each BCI stage was discussed at the end of this paper which is different with previous survey paper.
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页数：6
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