Smoothing the artificial SSVEP response using double exponential smoothing method

Nor Rashidah Md Juremi, Mohd Asyraf Zulkifley, Aini Hussain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Steady state visual evoked potential (SSVEP) is one of the BCI responses that is elicited from the external stimulus. SSVEP is a noisy signal that requires signal smoothing before any further processing can be performed. In this paper, we implement double exponential smoothing (DES) to minimize the ripple of SSVEP response in the frequency domain. The input signal was generated artificially by using trigonometric function (sine wave). Three fundamental frequencies were analyzed, which are 30, 15 and 7.5 Hz that are based on refresh rate of the stimulator. Euclidean distance (ED) technique is used as the evaluation metric to calculate the error between the results and ground truth. The results show that the smoothed signal by DES technique achieved a lower value of ED compared to the original signal.

Original languageEnglish
Title of host publicationIEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications
PublisherIEEE Computer Society
Pages287-290
Number of pages4
ISBN (Print)9781479902675
DOIs
Publication statusPublished - 2013
Event2013 3rd IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2013 - Melaka
Duration: 8 Oct 201310 Oct 2013

Other

Other2013 3rd IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2013
CityMelaka
Period8/10/1310/10/13

Fingerprint

Bioelectric potentials
Processing

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Cite this

Md Juremi, N. R., Zulkifley, M. A., & Hussain, A. (2013). Smoothing the artificial SSVEP response using double exponential smoothing method. In IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications (pp. 287-290). [6708019] IEEE Computer Society. https://doi.org/10.1109/ICSIPA.2013.6708019

Smoothing the artificial SSVEP response using double exponential smoothing method. / Md Juremi, Nor Rashidah; Zulkifley, Mohd Asyraf; Hussain, Aini.

IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications. IEEE Computer Society, 2013. p. 287-290 6708019.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Md Juremi, NR, Zulkifley, MA & Hussain, A 2013, Smoothing the artificial SSVEP response using double exponential smoothing method. in IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications., 6708019, IEEE Computer Society, pp. 287-290, 2013 3rd IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2013, Melaka, 8/10/13. https://doi.org/10.1109/ICSIPA.2013.6708019
Md Juremi NR, Zulkifley MA, Hussain A. Smoothing the artificial SSVEP response using double exponential smoothing method. In IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications. IEEE Computer Society. 2013. p. 287-290. 6708019 https://doi.org/10.1109/ICSIPA.2013.6708019
Md Juremi, Nor Rashidah ; Zulkifley, Mohd Asyraf ; Hussain, Aini. / Smoothing the artificial SSVEP response using double exponential smoothing method. IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications. IEEE Computer Society, 2013. pp. 287-290
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