IES Management College And Research Centre

Designing a Hybrid Brain Computer Interface System: An Introduction (Record no. 52571)

MARC details
000 -LEADER
fixed length control field 02725nam a2200181 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190909180923.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190909b ||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Niknamian, Sorush
9 (RLIN) 34556
245 ## - TITLE STATEMENT
Title Designing a Hybrid Brain Computer Interface System: An Introduction
300 ## - PHYSICAL DESCRIPTION
Extent 7-33 p.
520 ## - SUMMARY, ETC.
Summary, etc Background: Brain Computer Interface (BCI) is a communication system between human brain and a computer or a peripheral device which by recording brain signals directly would send messages and commands from the human brain to computer. According to brain activity patterns of EEG, BCIs are divided into different types. The most important of these patterns called ERP (Event Related Potentials) which appears after particular events in the EEG signal. Combining various types of BCI systems is called hybrid BCI and increases the efficiency of BCI system.<br/><br/>Materials and Methods: In this project, our concentration is on a hybrid P300-SSVEP Speller BCI system in order to enhance the accuracy. The aim of this project is to design a BCI system based on P300 and SSVEP patterns, which sequentially can be able to rectify the weakness points of the conventional BCIs.<br/><br/>Results: Our hybrid BCI system consists of two sections including SSVEP condition and P300 condition. First, we have only six frequencies in a 6×6 speller matrix that we should detect one-group characters with same frequencies through six groups. Second, we must detect desired character that there is in selected group in previous section through 36 characters. We used two different types of software to design our hybrid BCI and we achieved a relatively high classification accuracy with our hybrid system. In order to develop a practical daily use EEG system, signals were captured with a standard low cost EMOTIV-Epoc system.<br/><br/>we designed a hybrid SSVEP-P300 BCI platform by two different software. Our hybrid BCI system consists of two sections including SSVEP condition and P300 condition. In first section, as respect we had only six frequencies in a 6×6 speller matrix, we should detect one-group characters with the same frequencies through six groups. In second section, we must detect desired character that there is in selected group in previous section. This hybrid system can help to SSVEP condition to choose more commands using P300 condition so that it can help to increase the number of commands from 6 to 36 commands. In our system, we can achieve only six choices by SSVEP condition.
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term P300
Uncontrolled term Potential
-- Hybrid
Uncontrolled term BCI; EMOTIV-Epoc
773 0# - HOST ITEM ENTRY
Host Biblionumber 30426
Host Itemnumber 76603
Main entry heading MURTHY, E N
Place, publisher, and date of publication IUP PUBLICATION HYDERABAD
Other item identifier 55510784
Title COMPUTER SCIENCES
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from
    Dewey Decimal Classification     Main Library Main Library 09/09/2019   /Vol 13, No 3/ 55510784JA1 55510784JA1 09/09/2019 09/09/2019

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