Detection of Artefacts from the Motion of the Eyelids Created During EEG Research Using Artificial Neural Network

被引：7
|
作者：
Kubacki, Arkadiusz [1 ]
Jakubowski, Arkadiusz [1 ]
Sawicki, Lukasz [1 ]
机构：
[1] Poznan Univ Tech, Inst Mech Technol, Ul Piotrowo 3, PL-60965 Poznan, Poland
来源：
CHALLENGES IN AUTOMATION, ROBOTICS AND MEASUREMENT TECHNIQUES | 2016年 / 440卷
关键词：
Emotiv EPOC; EEG; Artificial neural network; Brain-computer interface; INDEPENDENT COMPONENT ANALYSIS; REMOVAL; SEPARATION; MOVEMENT;
D O I：
10.1007/978-3-319-29357-8_24
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article shows the results of the work on the system to recognize artefacts during the EEG research. The focus is on recognizing only one but the most common artefact which is eyes blinking. Recognition was used six artificial neural networks with 1, 2, 5, 10, 100 and 1000 hidden layers. For its learn were used 16765 samples. This article is based on of Emotiv EPOC+(TM) system and the MATLAB environment.
引用
收藏
页码：267 / 275
页数：9
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