LinkedECG: An Approach to the Integration and Publication of Electrocardiogram Data

• Douglas Torquato Federal University of Ceará (UFC)
• Daniel Rodrigues Federal University of Ceará (UFC)
• José Maria Monteiro Federal University of Ceará (UFC)
• João Paulo Madeiro University for the International Integration of Afro-Brazilian Lusophony (UNILAB)
• Angelo Brayner Federal University of Ceará (UFC)
• Vânia Vidal Federal University of Ceará (UFC)
• Narciso Arruda Federal University of Ceará (UFC)
• Tiago Vinuto Federal University of Ceará (UFC)

DOI: https://doi.org/10.5753/sbbd.2018.22238

Abstract

The electrocardiogram (ECG) is a widespread medical procedure in the cardiology field due to the fact that it is a fast, low-cost and non-invasive examination, and its analysis allows anomalies to be detected and interpreted by health experts. However, the data that comprise or may be extracted from the ECG signals are quite complex, heterogeneous and do not follow a single standardization. In this context, the present work proposes an approach, named LinkedECG, for ECG feature extraction (resulting from signal processing), ECG data integration and publishing following the main standards related to open data sharing on the web. The proposed methodology yields that data extracted from a set of collected signals and/or from publicly available signal records be integrated and published, in order to support, using Web environment, complex queries, execution of mining algorithms, and also enable collaboration among specialists.

Keywords: Data Integration, Data Publishing, Electrocardiogram, Signal Processing, Open Data

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