Bei Wang, T. Sugi, Xingyu Wang, A. Ikeda, T. Nagamine, H. Shibasaki, Masatoshi Nakamura
{"title":"基于交叉谱的双相脑电图分析:用于脑电图自动解释的慢波焦点检测","authors":"Bei Wang, T. Sugi, Xingyu Wang, A. Ikeda, T. Nagamine, H. Shibasaki, Masatoshi Nakamura","doi":"10.1109/BMEI.2009.5305322","DOIUrl":null,"url":null,"abstract":"EEG is represented to referential derivation with ear lobe reference and bipolar derivations for quantitative inter- pretation. When the ear lobe was activated, referential derivation with ear lobe reference was contaminated by ear lobe artifacts. In this study, the focus and extension of EEG components were estimated based on the cross spectrum of bipolar derivation. A referential derivation was constructed by choosing the electrodes out of the focus and extension area to obtain the distribution of EEG components. The constructed referential derivation can avoid the artifacts of ear lobe activation for quantitative EEG interpretation. Keywords-cross spectrum; bipolar derivation; focal and extension; automatic EEG interpretation; slowing wave","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"37 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Bipolar EEG Analysis Based on Cross Spectrum: Focal Detection of Slowing Wave for Automatic EEG Interpretation\",\"authors\":\"Bei Wang, T. Sugi, Xingyu Wang, A. Ikeda, T. Nagamine, H. Shibasaki, Masatoshi Nakamura\",\"doi\":\"10.1109/BMEI.2009.5305322\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"EEG is represented to referential derivation with ear lobe reference and bipolar derivations for quantitative inter- pretation. When the ear lobe was activated, referential derivation with ear lobe reference was contaminated by ear lobe artifacts. In this study, the focus and extension of EEG components were estimated based on the cross spectrum of bipolar derivation. A referential derivation was constructed by choosing the electrodes out of the focus and extension area to obtain the distribution of EEG components. The constructed referential derivation can avoid the artifacts of ear lobe activation for quantitative EEG interpretation. Keywords-cross spectrum; bipolar derivation; focal and extension; automatic EEG interpretation; slowing wave\",\"PeriodicalId\":6389,\"journal\":{\"name\":\"2009 2nd International Conference on Biomedical Engineering and Informatics\",\"volume\":\"37 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 2nd International Conference on Biomedical Engineering and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BMEI.2009.5305322\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 2nd International Conference on Biomedical Engineering and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEI.2009.5305322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bipolar EEG Analysis Based on Cross Spectrum: Focal Detection of Slowing Wave for Automatic EEG Interpretation
EEG is represented to referential derivation with ear lobe reference and bipolar derivations for quantitative inter- pretation. When the ear lobe was activated, referential derivation with ear lobe reference was contaminated by ear lobe artifacts. In this study, the focus and extension of EEG components were estimated based on the cross spectrum of bipolar derivation. A referential derivation was constructed by choosing the electrodes out of the focus and extension area to obtain the distribution of EEG components. The constructed referential derivation can avoid the artifacts of ear lobe activation for quantitative EEG interpretation. Keywords-cross spectrum; bipolar derivation; focal and extension; automatic EEG interpretation; slowing wave