Denesh Sooriamoorthy, Audrey Li-Huey Wee, Anandan S. Shanmugam, Khor Jeen Ghee, P. Ooi, Marwan Nafea
{"title":"零维心血管系统电参数对主动脉波形影响的研究","authors":"Denesh Sooriamoorthy, Audrey Li-Huey Wee, Anandan S. Shanmugam, Khor Jeen Ghee, P. Ooi, Marwan Nafea","doi":"10.1109/SCOReD50371.2020.9250931","DOIUrl":null,"url":null,"abstract":"Zero-dimensional (OD) models are simplified representations of the components of the cardiovascular system which aids in a strong understanding of the cardiovascular circulatory system. The zero-dimensional model provides a concise way to evaluate the dynamics of the blood flow interactions with the cardiovascular organs. The purpose of cardiovascular circulatory system modeling and simulation is to understand the fundamental parameters underlying the heart circulation system. The numerical change in the parameters represents the effects of pulse wave transmission in the arterial network. This paper studies 36 different dynamic parameters of the zero-dimension cardiovascular model by Vincent Rideout that consists of 16 resistance parameters, 12 compliance parameters, and 8 inductance parameters. The main aim of this research is to determine which parameters primarily affect the aortic wave signal of the Vincent Rideout model. An iterative study of the parameters was conducted to study the relationship between each parameter and its response to the aortic waveform. This investigation is focused on the second peak of PA1 because the first peak only quantifies the first pump of blood flow out of the heart. The time was kept constant while each parameter was varied from 0.25 to 1.75 times its default value. The results are analyzed, and 9 prominent parameters and 7 less prominent parameters were identified, which will affect the aortic waveform of the Vincent Rideout cardiovascular model. These prominent and less prominent parameters would be crucial parameters for the detection of cardiovascular diseases and monitoring the condition of the heart of the person.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Study on the Effect of Electrical Parameters of Zero-Dimensional Cardiovascular System on Aortic Waveform\",\"authors\":\"Denesh Sooriamoorthy, Audrey Li-Huey Wee, Anandan S. Shanmugam, Khor Jeen Ghee, P. Ooi, Marwan Nafea\",\"doi\":\"10.1109/SCOReD50371.2020.9250931\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Zero-dimensional (OD) models are simplified representations of the components of the cardiovascular system which aids in a strong understanding of the cardiovascular circulatory system. The zero-dimensional model provides a concise way to evaluate the dynamics of the blood flow interactions with the cardiovascular organs. The purpose of cardiovascular circulatory system modeling and simulation is to understand the fundamental parameters underlying the heart circulation system. The numerical change in the parameters represents the effects of pulse wave transmission in the arterial network. This paper studies 36 different dynamic parameters of the zero-dimension cardiovascular model by Vincent Rideout that consists of 16 resistance parameters, 12 compliance parameters, and 8 inductance parameters. The main aim of this research is to determine which parameters primarily affect the aortic wave signal of the Vincent Rideout model. An iterative study of the parameters was conducted to study the relationship between each parameter and its response to the aortic waveform. This investigation is focused on the second peak of PA1 because the first peak only quantifies the first pump of blood flow out of the heart. The time was kept constant while each parameter was varied from 0.25 to 1.75 times its default value. The results are analyzed, and 9 prominent parameters and 7 less prominent parameters were identified, which will affect the aortic waveform of the Vincent Rideout cardiovascular model. These prominent and less prominent parameters would be crucial parameters for the detection of cardiovascular diseases and monitoring the condition of the heart of the person.\",\"PeriodicalId\":142867,\"journal\":{\"name\":\"2020 IEEE Student Conference on Research and Development (SCOReD)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Student Conference on Research and Development (SCOReD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCOReD50371.2020.9250931\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Student Conference on Research and Development (SCOReD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCOReD50371.2020.9250931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Study on the Effect of Electrical Parameters of Zero-Dimensional Cardiovascular System on Aortic Waveform
Zero-dimensional (OD) models are simplified representations of the components of the cardiovascular system which aids in a strong understanding of the cardiovascular circulatory system. The zero-dimensional model provides a concise way to evaluate the dynamics of the blood flow interactions with the cardiovascular organs. The purpose of cardiovascular circulatory system modeling and simulation is to understand the fundamental parameters underlying the heart circulation system. The numerical change in the parameters represents the effects of pulse wave transmission in the arterial network. This paper studies 36 different dynamic parameters of the zero-dimension cardiovascular model by Vincent Rideout that consists of 16 resistance parameters, 12 compliance parameters, and 8 inductance parameters. The main aim of this research is to determine which parameters primarily affect the aortic wave signal of the Vincent Rideout model. An iterative study of the parameters was conducted to study the relationship between each parameter and its response to the aortic waveform. This investigation is focused on the second peak of PA1 because the first peak only quantifies the first pump of blood flow out of the heart. The time was kept constant while each parameter was varied from 0.25 to 1.75 times its default value. The results are analyzed, and 9 prominent parameters and 7 less prominent parameters were identified, which will affect the aortic waveform of the Vincent Rideout cardiovascular model. These prominent and less prominent parameters would be crucial parameters for the detection of cardiovascular diseases and monitoring the condition of the heart of the person.