Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A realization of a P300 based brain-computer interface system P300 tabanli bir beyin-bilgisayar arayüzü sisteminin oluşturulmasi
Date
2010-07-15
Author
Erdoǧan, Balkar
Gençer, Nevzat Güneri
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
20
views
0
downloads
Cite This
Brain-Computer Interface is an alternative communication system between human and outside world which enables paralyzed and locked-in patients (like Amyotrophic lateral sclerosis - ALS) to communicate with their environment or control some electronic devices like computer using only their brain activity. Over the last two decades, numerous studies have been performed on this title and researchers proposed various applications and methodologies related to BCI research. In this study, a design and implementation of a P300 based BCI is realized. The hardware of the system consists of a 10 channel Electroencephalography (EEG) device which has been developed in our laboratory for BCI research. As the first application of this system, the so called "P300 Speller" of Farwell and Donchin has been chosen. Several statistical signal processing techniques and operational optimizations have been applied to improve the speed-accuracy performance of this spelling application. According to the online experiment results performed to test the practicality of this system, two out of five healthy participants were able to operate the system using only two trial repetitions for the perfect prediction of the target characters (6 seconds). The average and maximum bit rates of the system were measured to be 10.4bits/min and 31.14bits/min respectively. Regarding these results, the developed system has superior performance as compared to most of the P300 based BCI systems in the literature. © 2010 IEEE.
Subject Keywords
BCI
,
Brain-computer interface
,
EEG
,
P300
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77954451321&origin=inward
https://hdl.handle.net/11511/107311
DOI
https://doi.org/10.1109/biyomut.2010.5479781
Conference Name
2010 15th National Biomedical Engineering Meeting, BIYOMUT2010
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Erdoǧan and N. G. Gençer, “A realization of a P300 based brain-computer interface system P300 tabanli bir beyin-bilgisayar arayüzü sisteminin oluşturulmasi,” presented at the 2010 15th National Biomedical Engineering Meeting, BIYOMUT2010, Antalya, Türkiye, 2010, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77954451321&origin=inward.