A Novel Large Structured Cardiotocographic Database
Edoardo Spairani, Beniamino Daniele, Giovanni Magenes, M.G. Signorini
20222022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)11 citationsDOI
Abstract
In this work we present the creation of a large, structured database of CardioTocoGraphic (CTG) recordings, starting from a raw dataset containing tracings collected between 2013 and 2021 by the medical team of the University Hospital Federico II of Naples. The aim of the work is to provide a big, structured database of real clinical cardiotocographic data, useful for subsequent processing and analysis through state-of-the-art methods, in particular Deep Learning Methods. This organized dataset could lead to an increase of the diagnostic accuracy of CTG analysis in the discrimination of healthy and unhealthy fetuses.
Topics & Concepts
Computer scienceRaw dataDatabaseReference databaseWork (physics)Artificial intelligenceEngineeringMechanical engineeringProgramming languagePhonocardiography and Auscultation TechniquesNeonatal and fetal brain pathologyAtomic and Subatomic Physics Research