{"title":"心率变异性分析的多速率处理","authors":"T. Vityazeva, O. Melnik, A. Mikheev","doi":"10.1109/MECO.2014.6862717","DOIUrl":null,"url":null,"abstract":"The paper deals with the task of electrocardiography (ECG) signal analysis for the presence of slow wave components. The analysis is implemented on the basis of digital filtering in real time mode. It is proposed to use multirate signal processing to reduce the computational cost. Multilevel structure for downsampling is designed. Computational costs for the proposed and known approaches are evaluated and compared. The conclusions about the effectiveness of the developed structure are made.","PeriodicalId":416168,"journal":{"name":"2014 3rd Mediterranean Conference on Embedded Computing (MECO)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multirate processing for the heart rate variability analysis\",\"authors\":\"T. Vityazeva, O. Melnik, A. Mikheev\",\"doi\":\"10.1109/MECO.2014.6862717\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper deals with the task of electrocardiography (ECG) signal analysis for the presence of slow wave components. The analysis is implemented on the basis of digital filtering in real time mode. It is proposed to use multirate signal processing to reduce the computational cost. Multilevel structure for downsampling is designed. Computational costs for the proposed and known approaches are evaluated and compared. The conclusions about the effectiveness of the developed structure are made.\",\"PeriodicalId\":416168,\"journal\":{\"name\":\"2014 3rd Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 3rd Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2014.6862717\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 3rd Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2014.6862717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multirate processing for the heart rate variability analysis
The paper deals with the task of electrocardiography (ECG) signal analysis for the presence of slow wave components. The analysis is implemented on the basis of digital filtering in real time mode. It is proposed to use multirate signal processing to reduce the computational cost. Multilevel structure for downsampling is designed. Computational costs for the proposed and known approaches are evaluated and compared. The conclusions about the effectiveness of the developed structure are made.
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