Ya A Turovsky, S D Kurgalin, A A Vahtin, S V Borzunov, V A Belobrodsky
{"title":"基于自适应小波恢复方法的事件相关脑电位研究","authors":"Ya A Turovsky, S D Kurgalin, A A Vahtin, S V Borzunov, V A Belobrodsky","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The method of event-related brain potential (ERP) investigation was suggested. This method aims at obtaining an estimate of a structure of the chains of the local, maxima, obtained from wavelet-transform ERP matrix. The common approach for ERP analysis was represented. With this approach it was possible to form and detect the chains of the local maxima and minima of wavelet-transformation ERP matrix, The algorithms for adaptive recovery of ERP elements after forward wavelet-transform were described based on time scaling signals depicting separate elements of event-related components. When using the method for estimation of visual ERP it was found out that ERP components were formed with no less than 2-3 elements. These elements were the time and frequency domains. These domains being the basis for the adaptive recovery of ERP elements, having their certain latent time and amplitude features, can be independently of clinical and physiological importance. This method showed its stability toward the change in wavelet function (Morlet, WAVE) used during analysis. This method was used for SSVEP analysis. The new elements in SSVEP were detected. These elements were not constantly present in SSVEP spectrum.</p>","PeriodicalId":8942,"journal":{"name":"Biofizika","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Event-related Brain Potential Investigation Using Adaptive Wavelet Recovery Method].\",\"authors\":\"Ya A Turovsky, S D Kurgalin, A A Vahtin, S V Borzunov, V A Belobrodsky\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The method of event-related brain potential (ERP) investigation was suggested. This method aims at obtaining an estimate of a structure of the chains of the local, maxima, obtained from wavelet-transform ERP matrix. The common approach for ERP analysis was represented. With this approach it was possible to form and detect the chains of the local maxima and minima of wavelet-transformation ERP matrix, The algorithms for adaptive recovery of ERP elements after forward wavelet-transform were described based on time scaling signals depicting separate elements of event-related components. When using the method for estimation of visual ERP it was found out that ERP components were formed with no less than 2-3 elements. These elements were the time and frequency domains. These domains being the basis for the adaptive recovery of ERP elements, having their certain latent time and amplitude features, can be independently of clinical and physiological importance. This method showed its stability toward the change in wavelet function (Morlet, WAVE) used during analysis. This method was used for SSVEP analysis. The new elements in SSVEP were detected. These elements were not constantly present in SSVEP spectrum.</p>\",\"PeriodicalId\":8942,\"journal\":{\"name\":\"Biofizika\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biofizika\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biofizika","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
[Event-related Brain Potential Investigation Using Adaptive Wavelet Recovery Method].
The method of event-related brain potential (ERP) investigation was suggested. This method aims at obtaining an estimate of a structure of the chains of the local, maxima, obtained from wavelet-transform ERP matrix. The common approach for ERP analysis was represented. With this approach it was possible to form and detect the chains of the local maxima and minima of wavelet-transformation ERP matrix, The algorithms for adaptive recovery of ERP elements after forward wavelet-transform were described based on time scaling signals depicting separate elements of event-related components. When using the method for estimation of visual ERP it was found out that ERP components were formed with no less than 2-3 elements. These elements were the time and frequency domains. These domains being the basis for the adaptive recovery of ERP elements, having their certain latent time and amplitude features, can be independently of clinical and physiological importance. This method showed its stability toward the change in wavelet function (Morlet, WAVE) used during analysis. This method was used for SSVEP analysis. The new elements in SSVEP were detected. These elements were not constantly present in SSVEP spectrum.
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