Karen-Jazmín Mendoza-Bautista, M. Ramírez-Sotelo, A. Cabrera-Llanos
{"title":"A prioritization system for failures of a vital signs monitor","authors":"Karen-Jazmín Mendoza-Bautista, M. Ramírez-Sotelo, A. Cabrera-Llanos","doi":"10.1109/LA-CCI.2018.8625238","DOIUrl":null,"url":null,"abstract":"This work presents, the development of a MISO (Multi Input Single Output) system of fuzzy logic (diffuse), used for the prioritization of possible failures in vital signs monitor whose physiological variables are: electrocardiogram (ECG), heart rate (HR), respiratory rate (FR), temperature (T) and the partial oxygen saturation (SPO2). For the MISO system we classify the possible failures of the monitor in physiological failures and technical failures, developing two MISO systems, one for each type of failure. For the physiological failures system are taken as inputs the variables of HR, RR, SPO2 and T taking their membership functions as the ranges that these are normal and are considered uncommon in an adult, while for the techniques failures system are considered as input the failures in the sensors monitor and its membership functions vary according to the operational status of the same, delivering both systems a fuzzy output of prioritization whose labels are: normal, mild, moderate, and critical. Subsequently to be designed fuzzy systems miso, tests were carried out the method Montecarlo by checking the functionality of these. Due to the results achieved, the fuzzy systems described above can be applied in the automation of alarms of vital signs monitors that have the characteristics mentioned above or can serve as a reference for the development of future fuzzy systems applied to different types of monitors the vital signs.","PeriodicalId":152596,"journal":{"name":"Latin American Conference on Computational Intelligence","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Latin American Conference on Computational Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LA-CCI.2018.8625238","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
This work presents, the development of a MISO (Multi Input Single Output) system of fuzzy logic (diffuse), used for the prioritization of possible failures in vital signs monitor whose physiological variables are: electrocardiogram (ECG), heart rate (HR), respiratory rate (FR), temperature (T) and the partial oxygen saturation (SPO2). For the MISO system we classify the possible failures of the monitor in physiological failures and technical failures, developing two MISO systems, one for each type of failure. For the physiological failures system are taken as inputs the variables of HR, RR, SPO2 and T taking their membership functions as the ranges that these are normal and are considered uncommon in an adult, while for the techniques failures system are considered as input the failures in the sensors monitor and its membership functions vary according to the operational status of the same, delivering both systems a fuzzy output of prioritization whose labels are: normal, mild, moderate, and critical. Subsequently to be designed fuzzy systems miso, tests were carried out the method Montecarlo by checking the functionality of these. Due to the results achieved, the fuzzy systems described above can be applied in the automation of alarms of vital signs monitors that have the characteristics mentioned above or can serve as a reference for the development of future fuzzy systems applied to different types of monitors the vital signs.