{"title":"State Feedback Control Models for the Cardiovascular System in Constant Exercise Scenario","authors":"A. Dan, T. Dragomir","doi":"10.1109/SACI.2018.8440985","DOIUrl":null,"url":null,"abstract":"The human cardiovascular system has many local and global regulatory mechanisms designed to adjust the cardiovascular signals to different operating regimes. This paper is focused on modeling the control function of the system during an exercise scenario. In this scenario, the cardiovascular system is driven from the rest steady state to the exercise steady state. A review of different state feedback control models synthesis is made and a new control function is introduced. The new control function uses the heart rate and the arterial systemic pressure as feedback variables. These signals correspond to regulatory mechanisms and can be experimentally measured. The synthesis method is based on physiological reasoning and allows adding new terms based on physiological assessments of the cardiovascular system behavior. The proposed control function is validated through two case studies. It has the advantage of using minimal and easy to obtain information from the cardiovascular system.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2018.8440985","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The human cardiovascular system has many local and global regulatory mechanisms designed to adjust the cardiovascular signals to different operating regimes. This paper is focused on modeling the control function of the system during an exercise scenario. In this scenario, the cardiovascular system is driven from the rest steady state to the exercise steady state. A review of different state feedback control models synthesis is made and a new control function is introduced. The new control function uses the heart rate and the arterial systemic pressure as feedback variables. These signals correspond to regulatory mechanisms and can be experimentally measured. The synthesis method is based on physiological reasoning and allows adding new terms based on physiological assessments of the cardiovascular system behavior. The proposed control function is validated through two case studies. It has the advantage of using minimal and easy to obtain information from the cardiovascular system.