Exponential filters for visual brain-computer interface protocol

Nor Rashidah Md Juremi, Mohd Asyraf Zulkifley, Aini Hussain

Research output: Contribution to journalArticle

Abstract

Steady-state visual evoked potential (SSVEP) is one of the most used responses in electroencephalography (EEG) based brain-computer interface (BCI) systems. This signal is evoked by an external stimulus, which is a flickering monitor display such as a cathode ray tube, liquid crystal display or light emitting diode. The most important component in SSVEP response is the amplitude of the fundamental frequency f, which is difficult to distinguish because the amplitude of f decreases with increasing frequency. This study proposes two novel filtering techniques, double exponential filter (DEF) and triple exponential filter (TEF) to overcome this problem. This techniques are applied to the simulation of SSVEP responses with additive artificial noise. Three familiar filtering techniques are constructed, namely, the second order polynomial (SOP) filter, exponentially weighted moving average (EWMA) and Kalman filter as performance benchmarks for the proposed techniques. The accuracy of the measured and filtered artificial SSVEP control signals are evaluated using five evaluation metrics: Manhattan distance, Euclidean distance (ED), L3 norm, Mahalanobis distance and Bhattacharyya distance (BD). The results demonstrate that the DEF outperforms the other filtering techniques.

Original languageEnglish
Pages (from-to)5243-5250
Number of pages8
JournalJournal of Computational Information Systems
Volume11
Issue number14
DOIs
Publication statusPublished - 15 Jul 2015

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Brain computer interface
Bioelectric potentials
Display devices
Flickering
Cathode ray tubes
Electroencephalography
Liquid crystal displays
Kalman filters
Light emitting diodes
Polynomials

Keywords

  • Double Exponential Filter
  • Steady-state Visual Evoked Potential
  • Triple Exponential Filter

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

Cite this

Exponential filters for visual brain-computer interface protocol. / Juremi, Nor Rashidah Md; Zulkifley, Mohd Asyraf; Hussain, Aini.

In: Journal of Computational Information Systems, Vol. 11, No. 14, 15.07.2015, p. 5243-5250.

Research output: Contribution to journalArticle

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