Nor Rashidah Md Juremi, M. A. Zulkifley, A. Hussain
{"title":"采用双指数平滑法对人工SSVEP响应进行平滑处理","authors":"Nor Rashidah Md Juremi, M. A. Zulkifley, A. Hussain","doi":"10.1109/ICSIPA.2013.6708019","DOIUrl":null,"url":null,"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.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"3 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Smoothing the artificial SSVEP response using double exponential smoothing method\",\"authors\":\"Nor Rashidah Md Juremi, M. A. Zulkifley, A. Hussain\",\"doi\":\"10.1109/ICSIPA.2013.6708019\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":440373,\"journal\":{\"name\":\"2013 IEEE International Conference on Signal and Image Processing Applications\",\"volume\":\"3 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Signal and Image Processing Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSIPA.2013.6708019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Signal and Image Processing Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIPA.2013.6708019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Smoothing the artificial SSVEP response using double exponential smoothing method
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.
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