contributor author | Wang Yu | |
contributor author | Xu Bing | |
contributor author | Gui Qiang | |
contributor author | Guo Kai | |
contributor author | Pei WeiHua | |
contributor author | Liu Jian | |
contributor author | Chen HongDa | |
date accessioned | 2017-05-09T00:46:16Z | |
date available | 2017-05-09T00:46:16Z | |
date copyright | August, 2011 | |
date issued | 2011 | |
identifier issn | 1949-2944 | |
identifier other | JNEMAA-28064#031007_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/147298 | |
description abstract | Brain–computer interface (BCI) technology is a key issue in neural engineering, which can manipulate machine by electroencephalography (EEG). An important question surrounding the use of the BCI is the design of a wearable electroencephalography recording and processing equipment. We report the design and fabrication of a novel system based on dry electrodes, in which skin preparation and application of electrolytic gel are not required. In this study, an EEG-based BCI system, which includes a wireless transmitter module and an receiver module was designed, EEG is acquired using dry electrodes, amplified and processed by an application-specific integrated circuit (ASIC), and transmitted to the receiver by RF chip. The BCI system can obtain the subject’s degree of concentration, and those trained subjects have the ability of controlling the machine by changing their EEG signals. A experiment that controlling a toy car using the BCI system is successfully performed. The wearable transmitter module weighs 39 g only and easy to wear. The transmitter consumes 60 mW of dc power and generates an output power of 0 dBm. The BCI system is suitable for long-term EEG monitoring in users’ daily life. This system is feasible for further extension. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Dry Electrode Based Wearable Wireless Brain–Computer Interface System | |
type | Journal Paper | |
journal volume | 2 | |
journal issue | 3 | |
journal title | Journal of Nanotechnology in Engineering and Medicine | |
identifier doi | 10.1115/1.4005487 | |
journal fristpage | 31007 | |
identifier eissn | 1949-2952 | |
keywords | Electrodes | |
keywords | Computers | |
keywords | Brain | |
keywords | Electroencephalography | |
keywords | Signals AND Manufacturing | |
tree | Journal of Nanotechnology in Engineering and Medicine:;2011:;volume( 002 ):;issue: 003 | |
contenttype | Fulltext | |