正常与异常状态下心脏瓣膜流速模式的数值模拟

K. Hemalatha, M. Manivannan, S. Thanikachalam
{"title":"正常与异常状态下心脏瓣膜流速模式的数值模拟","authors":"K. Hemalatha, M. Manivannan, S. Thanikachalam","doi":"10.1109/ICCCCT.2010.5670610","DOIUrl":null,"url":null,"abstract":"Objectives of this paper are to simulate flow velocity patterns of cardiac valves in normal and abnormal conditions using electrical equivalent lumped parameter Cardiovascular System (CVS) model and validate with real subjects' echocardiograph. Our model consists of detailed representation of supine human CVS with baroreflex control. Cardic valves are characterized by resistance, inertance and bernoulli's resistance to exactly mimic the nonlinear, turbulent flow nature of physiological valves. Echocardiographs of real patients with valve abnormalities are collected. Echo derived indexes are implemented in model by tuning appropriate parameters based on sensitivity analysis. The simulated flow velocity patterns are well matching with Echo Cardiograph and also the model derived hemodynamic indexes have good agreement with real data. Therefore, our model has the ability to simulate more complicated hemodynamic principles in mitral stenosis and regurgitation of mitral, tricuspid, pulmonary and aortic valves.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Numerical simulation of cardiac valve flow velocity patterns in normal and abnormal conditions\",\"authors\":\"K. Hemalatha, M. Manivannan, S. Thanikachalam\",\"doi\":\"10.1109/ICCCCT.2010.5670610\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objectives of this paper are to simulate flow velocity patterns of cardiac valves in normal and abnormal conditions using electrical equivalent lumped parameter Cardiovascular System (CVS) model and validate with real subjects' echocardiograph. Our model consists of detailed representation of supine human CVS with baroreflex control. Cardic valves are characterized by resistance, inertance and bernoulli's resistance to exactly mimic the nonlinear, turbulent flow nature of physiological valves. Echocardiographs of real patients with valve abnormalities are collected. Echo derived indexes are implemented in model by tuning appropriate parameters based on sensitivity analysis. The simulated flow velocity patterns are well matching with Echo Cardiograph and also the model derived hemodynamic indexes have good agreement with real data. Therefore, our model has the ability to simulate more complicated hemodynamic principles in mitral stenosis and regurgitation of mitral, tricuspid, pulmonary and aortic valves.\",\"PeriodicalId\":250834,\"journal\":{\"name\":\"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCCT.2010.5670610\",\"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 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCCT.2010.5670610","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本文的目的是利用电等效集总参数心血管系统(CVS)模型模拟心脏瓣膜在正常和异常状态下的流速模式,并通过真实受试者的超声心动图进行验证。我们的模型由仰卧的人的CVS与气压反射控制的详细表示。心脏瓣膜具有电阻、惯性和伯努利阻力的特点,以准确地模拟生理瓣膜的非线性湍流特性。收集真实瓣膜异常患者的超声心动图。在灵敏度分析的基础上,通过调整适当的参数,在模型中实现回波衍生指标。模拟的血流速度分布与超声心动图吻合较好,模型推导的血流动力学指标与实际数据吻合较好。因此,我们的模型能够模拟更复杂的二尖瓣狭窄和二尖瓣、三尖瓣、肺动脉瓣和主动脉瓣反流的血流动力学原理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Numerical simulation of cardiac valve flow velocity patterns in normal and abnormal conditions
Objectives of this paper are to simulate flow velocity patterns of cardiac valves in normal and abnormal conditions using electrical equivalent lumped parameter Cardiovascular System (CVS) model and validate with real subjects' echocardiograph. Our model consists of detailed representation of supine human CVS with baroreflex control. Cardic valves are characterized by resistance, inertance and bernoulli's resistance to exactly mimic the nonlinear, turbulent flow nature of physiological valves. Echocardiographs of real patients with valve abnormalities are collected. Echo derived indexes are implemented in model by tuning appropriate parameters based on sensitivity analysis. The simulated flow velocity patterns are well matching with Echo Cardiograph and also the model derived hemodynamic indexes have good agreement with real data. Therefore, our model has the ability to simulate more complicated hemodynamic principles in mitral stenosis and regurgitation of mitral, tricuspid, pulmonary and aortic valves.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Face recognition system using multi layer feed Forward Neural Networks and Principal Component Analysis with variable learning rate VLSI design of mixed radix FFT Processor for MIMO OFDM in wireless communications Cellular phone based biomedical system for health care Intelligent based modelling, control and fault detection of chemical process Analysis of linear biconical antenna array
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1