Smoothing the Artificial SSVEP Response Using Double Exponential Smoothing Method

被引：0
|
作者：
Juremi, Nor Rashidah Md [1 ]
Zulkifley, Mohd Asyraf [1 ]
Hussain, Aini [1 ]
机构：
[1] Univ Kebangsaan Malaysia, Dept Elect Elect & Syst, Fac Engn & Build Environm, Bangi 43600, Selangor, Malaysia
来源：
2013 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (IEEE ICSIPA 2013) | 2013年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Steady state visual evoked potential (SSVEP) is one of the Bel 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.
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页码：287 / 290
页数：4
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