{"title":"利用并行通道对心电信号进行预处理","authors":"V. Gurov, O. Melnik, A. Mikheev","doi":"10.1109/MECO.2015.7181947","DOIUrl":null,"url":null,"abstract":"This paper proposes a methodology for the use of parallel channels for processing of biomedical signals, allowing to minimize the distortion of time-amplitude signal informative features in the process of interference eliminating. Structures and methods of preprocessing of electrocardio signal is developed that allow to reduce distortion diagnostically significant informative parameters of ECS in 1, 2-9 times compared with conventional methods.","PeriodicalId":225167,"journal":{"name":"2015 4th Mediterranean Conference on Embedded Computing (MECO)","volume":"45 17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Preprocessing of electrocardio signal with the use of parallel channels\",\"authors\":\"V. Gurov, O. Melnik, A. Mikheev\",\"doi\":\"10.1109/MECO.2015.7181947\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a methodology for the use of parallel channels for processing of biomedical signals, allowing to minimize the distortion of time-amplitude signal informative features in the process of interference eliminating. Structures and methods of preprocessing of electrocardio signal is developed that allow to reduce distortion diagnostically significant informative parameters of ECS in 1, 2-9 times compared with conventional methods.\",\"PeriodicalId\":225167,\"journal\":{\"name\":\"2015 4th Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"45 17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 4th Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2015.7181947\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 4th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2015.7181947","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Preprocessing of electrocardio signal with the use of parallel channels
This paper proposes a methodology for the use of parallel channels for processing of biomedical signals, allowing to minimize the distortion of time-amplitude signal informative features in the process of interference eliminating. Structures and methods of preprocessing of electrocardio signal is developed that allow to reduce distortion diagnostically significant informative parameters of ECS in 1, 2-9 times compared with conventional methods.