{"title":"压力检测算法。","authors":"J C Perfetto, A G Ruiz, R O Sirne, C E D'Attellis","doi":"10.1109/MEMB.2009.934246","DOIUrl":null,"url":null,"abstract":"Our approach is based on identifying specific characteristics of the arterial blood pressure (ABP) signal. During the development of the algorithm, we examined the signals and tried to extract the features that signals always share with other signals of the same type. These features permit acceptance of a portion of the signal as being part of arterial pressure or reject it as being an artifact. The algorithm first detects the occurrence of the systolic point and, thereafter, the diastolic point. The method we present here is designed to be used in adaptation mechanisms of the cardiovascular system assessment.","PeriodicalId":50391,"journal":{"name":"IEEE Engineering in Medicine and Biology Magazine","volume":"28 5","pages":"35-40"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/MEMB.2009.934246","citationCount":"6","resultStr":"{\"title\":\"Pressure-detection algorithms.\",\"authors\":\"J C Perfetto, A G Ruiz, R O Sirne, C E D'Attellis\",\"doi\":\"10.1109/MEMB.2009.934246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Our approach is based on identifying specific characteristics of the arterial blood pressure (ABP) signal. During the development of the algorithm, we examined the signals and tried to extract the features that signals always share with other signals of the same type. These features permit acceptance of a portion of the signal as being part of arterial pressure or reject it as being an artifact. The algorithm first detects the occurrence of the systolic point and, thereafter, the diastolic point. The method we present here is designed to be used in adaptation mechanisms of the cardiovascular system assessment.\",\"PeriodicalId\":50391,\"journal\":{\"name\":\"IEEE Engineering in Medicine and Biology Magazine\",\"volume\":\"28 5\",\"pages\":\"35-40\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1109/MEMB.2009.934246\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Engineering in Medicine and Biology Magazine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEMB.2009.934246\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Engineering in Medicine and Biology Magazine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMB.2009.934246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Our approach is based on identifying specific characteristics of the arterial blood pressure (ABP) signal. During the development of the algorithm, we examined the signals and tried to extract the features that signals always share with other signals of the same type. These features permit acceptance of a portion of the signal as being part of arterial pressure or reject it as being an artifact. The algorithm first detects the occurrence of the systolic point and, thereafter, the diastolic point. The method we present here is designed to be used in adaptation mechanisms of the cardiovascular system assessment.