Data-Driven Supervised Compression Artifacts Detection on Continuous Glucose Sensors

التفاصيل البيبلوغرافية
العنوان: Data-Driven Supervised Compression Artifacts Detection on Continuous Glucose Sensors
المؤلفون: Idi, Elena, Manzoni, Eleonora, Sparacino, Giovanni, Del Favero, Simone
المساهمون: Idi, Elena, Manzoni, Eleonora, Sparacino, Giovanni, Del Favero, Simone
سنة النشر: 2022
المجموعة: Padua Research Archive (IRIS - Università degli Studi di Padova)
مصطلحات موضوعية: Blood Glucose, Glucose, Human, Retrospective Studie, Artifact, Blood Glucose Self-Monitoring
الوصف: Continuous Glucose Monitoring (CGM) sensors micro-invasively provide frequent glucose readings, improving the management of Type 1 diabetic patients' life and making available reach data-sets for retrospective analysis. Unlikely, CGM sensors are subject to failures, such as compression artifacts, that might impact on both real-time and respective CGM use. In this work is focused on retrospective detection of compression artifacts. An in-silico dataset is generated using the T1D UVa/Padova simulator and compression artifacts are subsequently added in known position, thus creating a dataset with perfectly accurate faulty/not-faulty labels. The problem of compression artifact detection is then faced with supervised data-driven techniques, in particular using Random Forest algorithm. The detection performance guaranteed by the method on in-silico data is satisfactory, opening the way for further analysis on real-data.
نوع الوثيقة: conference object
اللغة: English
العلاقة: info:eu-repo/semantics/altIdentifier/isbn/978-1-7281-2782-8; info:eu-repo/semantics/altIdentifier/pmid/36085641; ispartofbook:Proceeding of the 44st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2022; 44st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2022; volume:2022; firstpage:1145; lastpage:1148; numberofpages:4; serie:ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY; http://hdl.handle.net/11577/3456171Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85138127333
DOI: 10.1109/EMBC48229.2022.9870884
الإتاحة: https://doi.org/10.1109/EMBC48229.2022.9870884Test
http://hdl.handle.net/11577/3456171Test
رقم الانضمام: edsbas.4C8DE763
قاعدة البيانات: BASE