S. Barni, M. Mugnaini, A. Fort, F. Mori, M. Tani, V. Vignoli, Elia Landi, Riccardo Moretti, T. Addabbo
{"title":"Impedance Measurement Exploited for Anaphylaxis Prediction in Casein Allergic Children","authors":"S. Barni, M. Mugnaini, A. Fort, F. Mori, M. Tani, V. Vignoli, Elia Landi, Riccardo Moretti, T. Addabbo","doi":"10.1109/MeMeA49120.2020.9137358","DOIUrl":null,"url":null,"abstract":"In this manuscript the authors present some impedance measurement results on a representative number of cases taken among children which are affected by different casein allergy severity degrees. In particular four groups of highly allergic, medium allergic and low allergic children have been identified together with controls and compared in order to verify if discrimination among healthy and affected children was possible. The measurement results provide signature components to discriminate between allergic children and components. Such features have been then used, concerning the time graphs to feed a Fuzzy classifier in the effort to prove that a cut-off threshold can be experimentally identified.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"266 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MeMeA49120.2020.9137358","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
In this manuscript the authors present some impedance measurement results on a representative number of cases taken among children which are affected by different casein allergy severity degrees. In particular four groups of highly allergic, medium allergic and low allergic children have been identified together with controls and compared in order to verify if discrimination among healthy and affected children was possible. The measurement results provide signature components to discriminate between allergic children and components. Such features have been then used, concerning the time graphs to feed a Fuzzy classifier in the effort to prove that a cut-off threshold can be experimentally identified.