{"title":"黄氏变换在子宫收缩分析中的应用","authors":"Kemal Aydın, R. M. Demirer, Coskun Bayrak","doi":"10.1109/BIBE.2010.70","DOIUrl":null,"url":null,"abstract":"Proposed approach, Hilbert-Huang Transform (HHT), has already been successfully applied in many engineering fields. In this work, unique properties of the HHT approach, like (1) decomposing and expansion of data into components so-called Intrinsic Mode Functions (IMFs) (2) localizing events in time-frequency space by using temporal frequency energy distribution. An experiment conducted to show that it is possible to extract the contraction locations in the uterine MMG signal.","PeriodicalId":330904,"journal":{"name":"2010 IEEE International Conference on BioInformatics and BioEngineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Use of Hilbert Huang Transform in Uterine Contraction Analysis\",\"authors\":\"Kemal Aydın, R. M. Demirer, Coskun Bayrak\",\"doi\":\"10.1109/BIBE.2010.70\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Proposed approach, Hilbert-Huang Transform (HHT), has already been successfully applied in many engineering fields. In this work, unique properties of the HHT approach, like (1) decomposing and expansion of data into components so-called Intrinsic Mode Functions (IMFs) (2) localizing events in time-frequency space by using temporal frequency energy distribution. An experiment conducted to show that it is possible to extract the contraction locations in the uterine MMG signal.\",\"PeriodicalId\":330904,\"journal\":{\"name\":\"2010 IEEE International Conference on BioInformatics and BioEngineering\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on BioInformatics and BioEngineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIBE.2010.70\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on BioInformatics and BioEngineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBE.2010.70","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Use of Hilbert Huang Transform in Uterine Contraction Analysis
Proposed approach, Hilbert-Huang Transform (HHT), has already been successfully applied in many engineering fields. In this work, unique properties of the HHT approach, like (1) decomposing and expansion of data into components so-called Intrinsic Mode Functions (IMFs) (2) localizing events in time-frequency space by using temporal frequency energy distribution. An experiment conducted to show that it is possible to extract the contraction locations in the uterine MMG signal.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
