{"title":"匹配信号配准的心肺同步","authors":"T. Vityazeva, S. Vityazev, A. Mikheev","doi":"10.1109/MECO.2019.8759993","DOIUrl":null,"url":null,"abstract":"The problem of joint heart rate and respiration signal analysis is considered in this paper. The analysis requires the sequences of heart rate and respiratory data to be synchronized. It is offered to synchronize the sequences at the stage of their registration. The respiration signal is sampled at the time points coordinated with the heart beats. The sampling becomes non-uniform but the cardio-respiratory synchronization improves and the joint processing gives more reliable results.","PeriodicalId":141324,"journal":{"name":"2019 8th Mediterranean Conference on Embedded Computing (MECO)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cardio-Respiratory Synchronization with Matched Signal Registration\",\"authors\":\"T. Vityazeva, S. Vityazev, A. Mikheev\",\"doi\":\"10.1109/MECO.2019.8759993\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of joint heart rate and respiration signal analysis is considered in this paper. The analysis requires the sequences of heart rate and respiratory data to be synchronized. It is offered to synchronize the sequences at the stage of their registration. The respiration signal is sampled at the time points coordinated with the heart beats. The sampling becomes non-uniform but the cardio-respiratory synchronization improves and the joint processing gives more reliable results.\",\"PeriodicalId\":141324,\"journal\":{\"name\":\"2019 8th Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 8th Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2019.8759993\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 8th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2019.8759993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cardio-Respiratory Synchronization with Matched Signal Registration
The problem of joint heart rate and respiration signal analysis is considered in this paper. The analysis requires the sequences of heart rate and respiratory data to be synchronized. It is offered to synchronize the sequences at the stage of their registration. The respiration signal is sampled at the time points coordinated with the heart beats. The sampling becomes non-uniform but the cardio-respiratory synchronization improves and the joint processing gives more reliable results.
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