I. Kiselev, F. Kolpakov, E. Biberdorf, V. Baranov, T. G. Komlyagina, I. Suvorova, V. Melnikov, S. Krivoschekov
{"title":"Patient-specific 1D model of the human cardiovascular system","authors":"I. Kiselev, F. Kolpakov, E. Biberdorf, V. Baranov, T. G. Komlyagina, I. Suvorova, V. Melnikov, S. Krivoschekov","doi":"10.1109/SIBIRCON.2015.7361855","DOIUrl":null,"url":null,"abstract":"A technique of parameter personalization of a 1d hemodynamic model is discussed and validated against physiological data of 1546 examined patients. Different parameter combinations were used, with the quality of prediction of the systolic and diastolic pressures used as the principle validation criterion. It is shown that with an appropriate personalization the model can provide adequate predictions (correlations near 0.9), where the decisive role is played by the total peripheral resistance parameter. Meanwhile parameters of the largest arteries do not play a significant role in the prediction.","PeriodicalId":6503,"journal":{"name":"2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON)","volume":"5 1","pages":"76-81"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBIRCON.2015.7361855","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A technique of parameter personalization of a 1d hemodynamic model is discussed and validated against physiological data of 1546 examined patients. Different parameter combinations were used, with the quality of prediction of the systolic and diastolic pressures used as the principle validation criterion. It is shown that with an appropriate personalization the model can provide adequate predictions (correlations near 0.9), where the decisive role is played by the total peripheral resistance parameter. Meanwhile parameters of the largest arteries do not play a significant role in the prediction.