Kinana Rashwani, H. Wehbi, A. Kassem, Mouhammed Houssein Kbar, Mohamad Abou Ali, Saeed H. Bamashmos, Marcello Jack Saadeh, M. Hajj-Hassan, Ali Ali
{"title":"MATLAB/SIMULINK High Flow Medical CO2 Insufflator Model with PID-PQT & MPC-PQT Controllers","authors":"Kinana Rashwani, H. Wehbi, A. Kassem, Mouhammed Houssein Kbar, Mohamad Abou Ali, Saeed H. Bamashmos, Marcello Jack Saadeh, M. Hajj-Hassan, Ali Ali","doi":"10.1109/ICM52667.2021.9664953","DOIUrl":null,"url":null,"abstract":"High flow medical Carbon Dioxide (CO2) insufflator is an instrument utilized in a minimally invasive surgery (MIS) generating void within the abdominal cavity to equip surgeons with an explicit view of internal body parts. In our previous work, MATLAB/SIMULINK-Simscape medical CO2 insufflator model was promoted concerning parameters for abdominal cavity (pressure, flow, and temperature) controlled by a Proportional Integral Derivative (PID) controller, then by a Model Predictive Controller (MPC). This current work allows the simultaneous control of the three parameters in the same way with a twist of introducing a High Flow subsystem into the whole model in order to minimize the time needed to reach the set pressure by surgeon using high flow principle to promote the precision, accuracy, and the response time of the system. The results are promising due to the swift in response. In the future work, Artificial Intelligence (AI) and fast imaging processors are to be linked to such high flow insufflators leading to elimination of human error throughout a fully automated control system.","PeriodicalId":212613,"journal":{"name":"2021 International Conference on Microelectronics (ICM)","volume":"378 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Microelectronics (ICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICM52667.2021.9664953","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
High flow medical Carbon Dioxide (CO2) insufflator is an instrument utilized in a minimally invasive surgery (MIS) generating void within the abdominal cavity to equip surgeons with an explicit view of internal body parts. In our previous work, MATLAB/SIMULINK-Simscape medical CO2 insufflator model was promoted concerning parameters for abdominal cavity (pressure, flow, and temperature) controlled by a Proportional Integral Derivative (PID) controller, then by a Model Predictive Controller (MPC). This current work allows the simultaneous control of the three parameters in the same way with a twist of introducing a High Flow subsystem into the whole model in order to minimize the time needed to reach the set pressure by surgeon using high flow principle to promote the precision, accuracy, and the response time of the system. The results are promising due to the swift in response. In the future work, Artificial Intelligence (AI) and fast imaging processors are to be linked to such high flow insufflators leading to elimination of human error throughout a fully automated control system.