Synchronous SSVEP Data Acquisition System

نویسندگان

  • Slawomir Kotyra
  • Grzegorz M. Wójcik
  • Marcin Smolira
چکیده

Steady State Visually Evoked Potentials have been known for several decades and they appear in the primary visual cortex of brain as a result of light stimulation of the sense of sight. In this article a simple method for electroencephalographic data acquisition is presented. The system is based on the DSM-51 unit connected to goggles with blinking diodes and Mindset-1000 EEG amplifier with 16 channels. We present self-developed hardware and method of effective synchronization for the light stimulation and brain activity recording.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An efficient low-cost real-time brain computer interface system based on SSVEP

This paper presents the development of a real-time brain computer interface (BCI) system based on the detection of steady-state visual evoked potential (SSVEP). The system includes a frequencyprogrammable visual stimulator, EEG-band amplifier and filter, 16bit data acquisition card, and signal processing and classification algorithms. Three visual stimuli flickering at varying frequencies were ...

متن کامل

Steady State Visual Evoked Potential (SSVEP) - based Brain Spelling System with Synchronous and Asynchronous Typing Modes

The paper presents an EEG-based wireless brain-computer interface (BCI) with which subjects can mindspell text on a computer screen. The application is based on detecting steady-state visual evoked potentials (SSVEP) in EEG signals recorded on the scalp of the subject. The performance of the BCI is compared for two different classification paradigms: synchronous and asynchronous modes.

متن کامل

Development of a Brain Computer Interface (BCI) Speller System Based on SSVEP Signals

BCI is one of the most intriguing technologies among other HCI systems, mostly because of its capability of recording brain activities. Spelling BCIs, which help paralyzed people to maintain communication, are one of the striking topics in the field of BCI. In this scientific a spelling BCI system with high transfer rate and accuracy that uses SSVEP signals is proposed.In addition, we suggested...

متن کامل

A Novel Hybrid Mental Spelling Application Based on Eye Tracking and SSVEP-Based BCI

Steady state visual evoked potentials (SSVEPs)-based Brain-Computer interfaces (BCIs), as well as eyetracking devices, provide a pathway for re-establishing communication for people with severe disabilities. We fused these control techniques into a novel eyetracking/SSVEP hybrid system, which utilizes eye tracking for initial rough selection and the SSVEP technology for fine target activation. ...

متن کامل

Application of Radial Basis Neural Networks in Fault Diagnosis of Synchronous Generator

This paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. In the proposed scheme, flux linkage analysis is used to reach a decision. Probabilistic neural network (PNN) and discrete wavelet transform (DWT) are used in design of fault diagnosis system. PNN as main part of thi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Annales UMCS, Informatica

دوره 14  شماره 

صفحات  -

تاریخ انتشار 2014