{"title":"增强心房颤动激活频率的时域检测","authors":"Ráhel Zölei-Szénási, G. Vadai, R. Pap, Z. Gingl","doi":"10.1109/SACI.2014.6840091","DOIUrl":null,"url":null,"abstract":"Atrial fibrillation is the most common sustained cardiac arrhythmia. To determine the activation frequency of the atrial fibrillation the frequency-domain analysis is used mostly, however it is unreliable in several cases. This insufficiency led to the demand of using time-domain analysis. Although these attempts seemed to be promising, there have remained several limitations. In our research we developed an enhanced algorithm for time-domain analysis. We defined two indicators which characterized the signals and the reliability of the method well. As compared to the frequency-domain analysis our algorithm can widen the applicability of time-domain analysis since in several cases - when the results of the frequency-domain analysis are unreliable - it can be applied still reliably. As a complementation of the frequency-domain analysis our algorithm can be an extremely helpful tool in medical practice.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"210 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Enhanced time-domain detection of the activation frequency of atrial fibrillation\",\"authors\":\"Ráhel Zölei-Szénási, G. Vadai, R. Pap, Z. Gingl\",\"doi\":\"10.1109/SACI.2014.6840091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Atrial fibrillation is the most common sustained cardiac arrhythmia. To determine the activation frequency of the atrial fibrillation the frequency-domain analysis is used mostly, however it is unreliable in several cases. This insufficiency led to the demand of using time-domain analysis. Although these attempts seemed to be promising, there have remained several limitations. In our research we developed an enhanced algorithm for time-domain analysis. We defined two indicators which characterized the signals and the reliability of the method well. As compared to the frequency-domain analysis our algorithm can widen the applicability of time-domain analysis since in several cases - when the results of the frequency-domain analysis are unreliable - it can be applied still reliably. As a complementation of the frequency-domain analysis our algorithm can be an extremely helpful tool in medical practice.\",\"PeriodicalId\":163447,\"journal\":{\"name\":\"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"volume\":\"210 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI.2014.6840091\",\"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 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2014.6840091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhanced time-domain detection of the activation frequency of atrial fibrillation
Atrial fibrillation is the most common sustained cardiac arrhythmia. To determine the activation frequency of the atrial fibrillation the frequency-domain analysis is used mostly, however it is unreliable in several cases. This insufficiency led to the demand of using time-domain analysis. Although these attempts seemed to be promising, there have remained several limitations. In our research we developed an enhanced algorithm for time-domain analysis. We defined two indicators which characterized the signals and the reliability of the method well. As compared to the frequency-domain analysis our algorithm can widen the applicability of time-domain analysis since in several cases - when the results of the frequency-domain analysis are unreliable - it can be applied still reliably. As a complementation of the frequency-domain analysis our algorithm can be an extremely helpful tool in medical practice.