基于小波分析的后期听觉诱发电位识别与重建

Stephan Weiss, U. Hoppe
{"title":"基于小波分析的后期听觉诱发电位识别与重建","authors":"Stephan Weiss, U. Hoppe","doi":"10.1109/TFSA.1996.550095","DOIUrl":null,"url":null,"abstract":"We introduce a recognition and reconstruction method for late auditory evoked potentials (AEPs) using wavelet analysis. The AEPs are part of the electroencephalogram (EEG) in reaction to acoustic stimuli and are used for diagnostic purposes. The decomposition of the EEG measurement data into subbands can yield a parameterization of the AEP using a small number of significant coefficients, which can be determined by surveying distributions of the transform coefficients. This method is more reliable than traditional means, and additionally offers the possibility of reconstructing potential AEPs by performing an inverse transform on significant coefficients.","PeriodicalId":415923,"journal":{"name":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Recognition and reconstruction of late auditory evoked potentials using wavelet analysis\",\"authors\":\"Stephan Weiss, U. Hoppe\",\"doi\":\"10.1109/TFSA.1996.550095\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce a recognition and reconstruction method for late auditory evoked potentials (AEPs) using wavelet analysis. The AEPs are part of the electroencephalogram (EEG) in reaction to acoustic stimuli and are used for diagnostic purposes. The decomposition of the EEG measurement data into subbands can yield a parameterization of the AEP using a small number of significant coefficients, which can be determined by surveying distributions of the transform coefficients. This method is more reliable than traditional means, and additionally offers the possibility of reconstructing potential AEPs by performing an inverse transform on significant coefficients.\",\"PeriodicalId\":415923,\"journal\":{\"name\":\"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)\",\"volume\":\"115 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TFSA.1996.550095\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TFSA.1996.550095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

提出了一种基于小波分析的晚期听觉诱发电位识别与重建方法。aep是脑电图(EEG)对声刺激的反应的一部分,用于诊断目的。将脑电测量数据分解成子带,可以利用少量显著系数对脑电电位进行参数化,这些显著系数可以通过测量变换系数的分布来确定。该方法比传统方法更可靠,并且还提供了通过对显著系数进行逆变换来重建潜在aep的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recognition and reconstruction of late auditory evoked potentials using wavelet analysis
We introduce a recognition and reconstruction method for late auditory evoked potentials (AEPs) using wavelet analysis. The AEPs are part of the electroencephalogram (EEG) in reaction to acoustic stimuli and are used for diagnostic purposes. The decomposition of the EEG measurement data into subbands can yield a parameterization of the AEP using a small number of significant coefficients, which can be determined by surveying distributions of the transform coefficients. This method is more reliable than traditional means, and additionally offers the possibility of reconstructing potential AEPs by performing an inverse transform on significant coefficients.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信