{"title":"小波变换在癫痫峰和癫痫发作检测中的应用","authors":"S. Schiff","doi":"10.1109/IEMBS.1994.415399","DOIUrl":null,"url":null,"abstract":"Wavelet transforms are used in conjunction with surrogate data techniques for epileptic spike detection and seizure localization from electroencephalogram data. Fast wavelet transform techniques demonstrate vast improvement in computational efficiency without a significant decrement in the quality of feature extraction.","PeriodicalId":344622,"journal":{"name":"Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Wavelet transforms for epileptic spike and seizure detection\",\"authors\":\"S. Schiff\",\"doi\":\"10.1109/IEMBS.1994.415399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wavelet transforms are used in conjunction with surrogate data techniques for epileptic spike detection and seizure localization from electroencephalogram data. Fast wavelet transform techniques demonstrate vast improvement in computational efficiency without a significant decrement in the quality of feature extraction.\",\"PeriodicalId\":344622,\"journal\":{\"name\":\"Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMBS.1994.415399\",\"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 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.1994.415399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wavelet transforms for epileptic spike and seizure detection
Wavelet transforms are used in conjunction with surrogate data techniques for epileptic spike detection and seizure localization from electroencephalogram data. Fast wavelet transform techniques demonstrate vast improvement in computational efficiency without a significant decrement in the quality of feature extraction.