{"title":"心跳和呼吸信号的联合处理，用于估计身体适应系统的功能","authors":"T. Vityazeva, S. Vityazev, A. Mikheev","doi":"10.1109/MECO.2016.7525795","DOIUrl":null,"url":null,"abstract":"Joint processing of respiratory and heart beat signals is considered in this paper. This joint processing makes heart rate variability analysis more reliable and improves body adaption system diagnostic in general. It is offered to use pulse-frequency modulation (PFM) and pulse-amplitude modulation (PAM) signals to represent tachogram that moves processing from frequency to time domain. Implementation issues and computational costs reduction with multirate processing are discussed. Modeling results proves the effectiveness of the offered approach.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Heart beat and respiratory signals joint processing for the estimation of body adaptation system functionality\",\"authors\":\"T. Vityazeva, S. Vityazev, A. Mikheev\",\"doi\":\"10.1109/MECO.2016.7525795\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Joint processing of respiratory and heart beat signals is considered in this paper. This joint processing makes heart rate variability analysis more reliable and improves body adaption system diagnostic in general. It is offered to use pulse-frequency modulation (PFM) and pulse-amplitude modulation (PAM) signals to represent tachogram that moves processing from frequency to time domain. Implementation issues and computational costs reduction with multirate processing are discussed. Modeling results proves the effectiveness of the offered approach.\",\"PeriodicalId\":253666,\"journal\":{\"name\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2016.7525795\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2016.7525795","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Heart beat and respiratory signals joint processing for the estimation of body adaptation system functionality
Joint processing of respiratory and heart beat signals is considered in this paper. This joint processing makes heart rate variability analysis more reliable and improves body adaption system diagnostic in general. It is offered to use pulse-frequency modulation (PFM) and pulse-amplitude modulation (PAM) signals to represent tachogram that moves processing from frequency to time domain. Implementation issues and computational costs reduction with multirate processing are discussed. Modeling results proves the effectiveness of the offered approach.
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