{"title":"脉搏波分析诊断血管健康","authors":"G. Hudoba","doi":"10.1109/SAMI.2010.5423764","DOIUrl":null,"url":null,"abstract":"Pulse Wave Analysis is a new technique to determine age and disease related changes in pulse wave morphology. We developed a software tool to extract information from an approximately one minute long data flow registered by photoplethysmography. The results of the computation, presented in both numerical and graphical forms, provide diagnostic value in assessing vascular health.","PeriodicalId":306051,"journal":{"name":"2010 IEEE 8th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Vascular health diagnosis by pulse wave analysis\",\"authors\":\"G. Hudoba\",\"doi\":\"10.1109/SAMI.2010.5423764\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pulse Wave Analysis is a new technique to determine age and disease related changes in pulse wave morphology. We developed a software tool to extract information from an approximately one minute long data flow registered by photoplethysmography. The results of the computation, presented in both numerical and graphical forms, provide diagnostic value in assessing vascular health.\",\"PeriodicalId\":306051,\"journal\":{\"name\":\"2010 IEEE 8th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 8th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAMI.2010.5423764\",\"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 8th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI.2010.5423764","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pulse Wave Analysis is a new technique to determine age and disease related changes in pulse wave morphology. We developed a software tool to extract information from an approximately one minute long data flow registered by photoplethysmography. The results of the computation, presented in both numerical and graphical forms, provide diagnostic value in assessing vascular health.