N. Ahmed, D. Hein, D. Walker, D. Parikh, B. Vujjini
{"title":"脑电数据的数字化处理","authors":"N. Ahmed, D. Hein, D. Walker, D. Parikh, B. Vujjini","doi":"10.1109/ISEMC.1976.7568738","DOIUrl":null,"url":null,"abstract":"The main objective of this paper is to discuss some signal processing aspects pertaining to electro encephalograph (EEG) data. First, digital filters which enable one to extrapolate the THETA and ALPHA components of EEG data are presented. Next, the energy outputs of these filters are used to suggest a plaus ible quantitive measure for assessing the effective ness of a biofeedback training process. Some of the related experimental results are also included.","PeriodicalId":296335,"journal":{"name":"IEEE 1976 International Symposium on Electromagnetic Compatibility","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1976-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the Digital Processing of EEG Data\",\"authors\":\"N. Ahmed, D. Hein, D. Walker, D. Parikh, B. Vujjini\",\"doi\":\"10.1109/ISEMC.1976.7568738\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main objective of this paper is to discuss some signal processing aspects pertaining to electro encephalograph (EEG) data. First, digital filters which enable one to extrapolate the THETA and ALPHA components of EEG data are presented. Next, the energy outputs of these filters are used to suggest a plaus ible quantitive measure for assessing the effective ness of a biofeedback training process. Some of the related experimental results are also included.\",\"PeriodicalId\":296335,\"journal\":{\"name\":\"IEEE 1976 International Symposium on Electromagnetic Compatibility\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1976-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE 1976 International Symposium on Electromagnetic Compatibility\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISEMC.1976.7568738\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE 1976 International Symposium on Electromagnetic Compatibility","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISEMC.1976.7568738","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The main objective of this paper is to discuss some signal processing aspects pertaining to electro encephalograph (EEG) data. First, digital filters which enable one to extrapolate the THETA and ALPHA components of EEG data are presented. Next, the energy outputs of these filters are used to suggest a plaus ible quantitive measure for assessing the effective ness of a biofeedback training process. Some of the related experimental results are also included.