{"title":"基于小波(MZ-DWT)的低信噪比动作电位检测器","authors":"Dohoon Kim, J. Choi, Taejeong Kim","doi":"10.1109/CNE.2005.1419617","DOIUrl":null,"url":null,"abstract":"High background noise of action potentials in extracellular recordings has been one of the major obstacles to reliable detection of action potentials. In this paper, we propose a novel detection algorithm aimed at high background noise environments using multi-scale product and multi-resolution analysis. A new detector provides considerable improvements on real data","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Wavelet(MZ-DWT) Based Action Potential Detector at Low Signal-to-Noise Ratios\",\"authors\":\"Dohoon Kim, J. Choi, Taejeong Kim\",\"doi\":\"10.1109/CNE.2005.1419617\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High background noise of action potentials in extracellular recordings has been one of the major obstacles to reliable detection of action potentials. In this paper, we propose a novel detection algorithm aimed at high background noise environments using multi-scale product and multi-resolution analysis. A new detector provides considerable improvements on real data\",\"PeriodicalId\":113815,\"journal\":{\"name\":\"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNE.2005.1419617\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNE.2005.1419617","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Wavelet(MZ-DWT) Based Action Potential Detector at Low Signal-to-Noise Ratios
High background noise of action potentials in extracellular recordings has been one of the major obstacles to reliable detection of action potentials. In this paper, we propose a novel detection algorithm aimed at high background noise environments using multi-scale product and multi-resolution analysis. A new detector provides considerable improvements on real data