Development of a Steady-State Visually Evoked Potential (SSVEP)-Based Brain-Computer Interface for Typing Persian Texts

Document Type : Original Article (s)

Authors

1 MSc Student, Department of Bioelectric, School of Biomedical Engineering, Semnan University, Semnan, Iran

2 Assistant Professor, Department of Bioelectric, School of Biomedical Engineering, Semnan University, Semnan, Iran

Abstract

AbstractBackground: For disabled patients who are unable to use their muscles, brain-computer interface (BCI) systems can be used to establish a channel between their brain and outside world. Steady-state visually evoked potentials (SSVEP)-based interfaces are of brain-computer interface-spellers noted in recent years.Methods: In this study, stimulation patterns based on Braille code with eight flickering cues were used. MATLAB psychtoolbox was used for construction of the visual stimulation. Fast Fourier transform (FFT) method and maximum classifier were used for feature extraction and classification, respectively.Findings: We achieved 96.67% of classification accuracy and information transfer rate of 19.632 bit per minute using Steady-state visually evoked potentials brain response and Braille code.Conclusion: Because of advantages such as single electrode signal recording, low number of excitation frequencies and adjustable parameters such as rest time between the stimulations, designed system is highly efficient and user friendly.

Keywords

References

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Journal of Isfahan Medical School
Volume 34, Issue 393 - Serial Number 393
July and August 2016
Pages 914-918

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History

  • Receive Date: 18 July 2016
  • Revise Date: 01 November 2024
  • Accept Date: 06 April 2022

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