{"title":"哮喘患者血管造影分析","authors":"Tan Teik Kean, M. Malarvili","doi":"10.1109/ICSIPA.2009.5478699","DOIUrl":null,"url":null,"abstract":"In this paper, a total of 13 parameters were studied and automatically extracted to differentiate the asthmatic and non-asthmatic capnogram. From the results, slope ratio (SR) and the newly introduced Hjorth Parameters (HP2 - Mobility) are the best among the investigated parameters in differentiating the two groups. Results show that parameters that associate with the slope of the capnogram are good index in differentiating the asthmatic and non-asthmatic capnogram.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"323 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Analysis of capnography for asthmatic patient\",\"authors\":\"Tan Teik Kean, M. Malarvili\",\"doi\":\"10.1109/ICSIPA.2009.5478699\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a total of 13 parameters were studied and automatically extracted to differentiate the asthmatic and non-asthmatic capnogram. From the results, slope ratio (SR) and the newly introduced Hjorth Parameters (HP2 - Mobility) are the best among the investigated parameters in differentiating the two groups. Results show that parameters that associate with the slope of the capnogram are good index in differentiating the asthmatic and non-asthmatic capnogram.\",\"PeriodicalId\":400165,\"journal\":{\"name\":\"2009 IEEE International Conference on Signal and Image Processing Applications\",\"volume\":\"323 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Signal and Image Processing Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSIPA.2009.5478699\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Signal and Image Processing Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIPA.2009.5478699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, a total of 13 parameters were studied and automatically extracted to differentiate the asthmatic and non-asthmatic capnogram. From the results, slope ratio (SR) and the newly introduced Hjorth Parameters (HP2 - Mobility) are the best among the investigated parameters in differentiating the two groups. Results show that parameters that associate with the slope of the capnogram are good index in differentiating the asthmatic and non-asthmatic capnogram.
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