{"title":"心电图概率分布的实证分析","authors":"G. Tchimmoue, H. Teodorescu","doi":"10.1109/ECAI.2013.6636189","DOIUrl":null,"url":null,"abstract":"We perform an empirical analysis of the statistic properties of the probability density functions (PDFs) of the ECGs. We show that the statistical analysis of the ECGs can reveal useful information on the noise in the recordings, and on the true ECG. The paper complements another paper by the second author, with theoretical character.","PeriodicalId":105698,"journal":{"name":"Proceedings of the International Conference on ELECTRONICS, COMPUTERS and ARTIFICIAL INTELLIGENCE - ECAI-2013","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Empirical analysis of the probability distributions of the ECGs\",\"authors\":\"G. Tchimmoue, H. Teodorescu\",\"doi\":\"10.1109/ECAI.2013.6636189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We perform an empirical analysis of the statistic properties of the probability density functions (PDFs) of the ECGs. We show that the statistical analysis of the ECGs can reveal useful information on the noise in the recordings, and on the true ECG. The paper complements another paper by the second author, with theoretical character.\",\"PeriodicalId\":105698,\"journal\":{\"name\":\"Proceedings of the International Conference on ELECTRONICS, COMPUTERS and ARTIFICIAL INTELLIGENCE - ECAI-2013\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on ELECTRONICS, COMPUTERS and ARTIFICIAL INTELLIGENCE - ECAI-2013\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECAI.2013.6636189\",\"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 the International Conference on ELECTRONICS, COMPUTERS and ARTIFICIAL INTELLIGENCE - ECAI-2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECAI.2013.6636189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Empirical analysis of the probability distributions of the ECGs
We perform an empirical analysis of the statistic properties of the probability density functions (PDFs) of the ECGs. We show that the statistical analysis of the ECGs can reveal useful information on the noise in the recordings, and on the true ECG. The paper complements another paper by the second author, with theoretical character.