{"title":"Blood Leak Detection System in Hemodialysis Due to Venous Needle Dislodgement","authors":"Zahrotus Syarifah, T. A. Sardjono, M. Fatoni","doi":"10.1109/CENIM56801.2022.10037432","DOIUrl":null,"url":null,"abstract":"Venous Needle Dislodgement (VND) is one of the life-threatening complications that might occur during hemodialysis. In this research, a device that can identify blood leakage caused by VND has been developed, allowing it to activate the blood pump and produce audible and visual alerts. The sensor is made up of four Light Dependent Resistor (LDR) sensors that are arranged in an array to look for the presence of blood. The sensor can identify a drop of 0.05 ml blood within 0.5-1 second. The accuracy of the sensor is 99.92%, 100%, 99.96%, and 99.89%. The Hetero Associate Memory (HAM) approach is used to determine the level of risk displaying 100% and 100% sensitivity in the results of specificity testing. When blood is discovered by sensors with three levels of risks, the system has the ability to activate auditory and visual alerts and stop the blood pump.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"181 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CENIM56801.2022.10037432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Venous Needle Dislodgement (VND) is one of the life-threatening complications that might occur during hemodialysis. In this research, a device that can identify blood leakage caused by VND has been developed, allowing it to activate the blood pump and produce audible and visual alerts. The sensor is made up of four Light Dependent Resistor (LDR) sensors that are arranged in an array to look for the presence of blood. The sensor can identify a drop of 0.05 ml blood within 0.5-1 second. The accuracy of the sensor is 99.92%, 100%, 99.96%, and 99.89%. The Hetero Associate Memory (HAM) approach is used to determine the level of risk displaying 100% and 100% sensitivity in the results of specificity testing. When blood is discovered by sensors with three levels of risks, the system has the ability to activate auditory and visual alerts and stop the blood pump.