Smoothing the artificial SSVEP response using double exponential smoothing method

Author

Md Juremi, Nor Rashidah ; Zulkifley, Mohd Asyraf ; Hussain, Amir

Author_Institution

Dept. of Electr., Electron. & Syst., Univ. Kebangsaan Malaysia, Bangi, Malaysia

fYear

2013

fDate

8-10 Oct. 2013

Firstpage

287

Lastpage

290

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.

Keywords

brain-computer interfaces; electroencephalography; medical signal processing; signal denoising; smoothing methods; visual evoked potentials; BCI responses; DES technique; ED technique; Euclidean distance technique; artificial SSVEP response smoothing; double exponential smoothing method; noisy signal; signal smoothing; steady state visual evoked potential; trigonometric function;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal and Image Processing Applications (ICSIPA), 2013 IEEE International Conference on

Conference_Location

Melaka

Print_ISBN

978-1-4799-0267-5

Type

conf

DOI

10.1109/ICSIPA.2013.6708019

Filename

6708019