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
Prototype Hardware Design for Brain Computer Interface Applications
Date
2009-01-01
Author
Erdogan, Balkar
Akinci, Berna
Acar, Erman
Usakli, Ali Buelent
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
200
views
0
downloads
Cite This
Brain Computer Interface (BCI) is an alternative communication pathway between the human brain and outside world in which only the brain activity is interpreted in a special way. These systems are based on the electrical activity of the brain that can be measured via Electroencephalography (EEG) devices. BCI enables people with severe motor disorders (like ALS) to communicate with their environment or control a wheelchair for their movement by using the EEG signals. In this study, a prototype data acquisiton and processing system for BCI applications is designed. The study is under development and some EEG records on active electrodes are promising.
Subject Keywords
Brain Computer Interface
,
EEG
,
active electrode
,
hardware
,
data acquisition system
URI
https://hdl.handle.net/11511/100759
DOI
https://doi.org/10.1109/biyomut.2009.5130373
Conference Name
14th National Biomedical Engineering Meeting
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Analysis and classification of spelling paradigm EEG data and an attempt for optimization of channels used
Yıldırım, Asil; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2010)
Brain Computer Interfaces (BCIs) are systems developed in order to control devices by using only brain signals. In BCI systems, different mental activities to be performed by the users are associated with different actions on the device to be controlled. Spelling Paradigm is a BCI application which aims to construct the words by finding letters using P300 signals recorded via channel electrodes attached to the diverse points of the scalp. Reducing the letter detection error rates and increasing the speed of...
Application of Wiener Deconvolution Model in P300 Spelling Paradigm
Erdogan, Balkar; Gençer, Nevzat Güneri (2009-01-01)
Spelling Paradigm first introduced by Farwell and Donchin, is one of the Brain Computer Interface (BCI) applications that enables paralyzed people to communicate with their environment. In such a problem, user needs to focus on the characters which are randomly flashed row or column-wise on the computer screen in a small period of time. The accuracy in spelling words is the main problem in this scheme and the duration of the correct prediction is quite important. The purpose of this work is twofold: to anal...
Parallel implementation of the boundary element method for electromagnetic source imaging of the human brain
Ataseven, Yoldaş; Gençer, Nevzat Güneri; Department of Electrical and Electronics Engineering (2005)
Human brain functions are based on the electrochemical activity and interaction of the neurons constituting the brain. Some brain diseases are characterized by abnormalities of this activity. Detection of the location and orientation of this electrical activity is called electro-magnetic source imaging (EMSI) and is of signi cant importance since it promises to serve as a powerful tool for neuroscience. Boundary Element Method (BEM) is a method applicable for EMSI on realistic head geometries that generates...
A computational model of the brain for decoding mental states from FMRI images
Alkan, Sarper; Yarman Vural, Fatoş Tunay; Department of Cognitive Sciences (2019)
Brain decoding from brain images obtained using functional magnetic resonance imaging (fMRI) techniques is an important task for the identification of mental states and illnesses as well as for the development of brain machine interfaces. The brain decoding methods that use multi-voxel pattern analysis that rely on the selection of voxels (volumetric pixels) that have relevant activity with respect to the experimental tasks or stimuli of the fMRI experiments are the most commonly used methods. While MVPA ba...
Classification of motor imagery tasks in EEG signal and its application to a brain-computer interface for controlling assistive environmental devices
Acar, Erman; Gençer, Nevzat Güneri; Department of Electrical and Electronics Engineering (2011)
This study focuses on realization of a Brain Computer Interface (BCI)for the paralyzed to control assistive environmental devices. For this purpose, different motor imagery tasks are classified using different signal processing methods. Specifically, band-pass filtering, Laplacian filtering, and common average reference (CAR) filtering areused to enhance the EEG signal. For feature extraction; Common Spatial Pattern (CSP), Power Spectral Density (PSD), and Principal Component Analysis (PCA) are tested. Line...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Erdogan, B. Akinci, E. Acar, A. B. Usakli, and N. G. Gençer, “Prototype Hardware Design for Brain Computer Interface Applications,” presented at the 14th National Biomedical Engineering Meeting, İzmir, Türkiye, 2009, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/100759.