Bernardo Gonçalves

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In this paper we test the hypothesis that a domain reference ontology of the electrocardiogram (ECG) can be employed in an effective manner to achieve semantic integration between ECG data standards. Several standardization initiatives, namely AHA/MIT-BIH (Physionet), SCP-ECG and HL7 aECG, have led to heterogeneous conceptualizations of the ECG domain. We(More)
The sheer scale of high-resolution raw data generated by simulation has motivated nonconventional approaches for data exploration, referred to as immersive and in situ query processing. Another step toward supporting scientific progress is to enable data-driven hypothesis management and predictive analytics out of simulation results. The authors of this(More)
As the problems of interest in large-scale science are ever more complex or intertwined, scientists can benefit from machinery to manage hypotheses and their interconnection in the context of a large-scale research project. A partial order is assumed to model hypothesis interconnectivity, meaning that hypotheses may be ‘based on or equal to’ one another.(More)
of Thesis presented to LNCC/MCT in partial fulfillment of the requirements for the degree of Doctor of Sciences (D.Sc.) MANAGING LARGE-SCALE SCIENTIFIC HYPOTHESES AS UNCERTAIN AND PROBABILISTIC DATA Bernardo Gonçalves February 2015 Advisor: Fabio Porto, D.Sc. In view of the paradigm shift that makes science ever more data-driven, in this thesis we propose a(More)
The latest computer and communication technologies in combination with an enhanced ECG analysis system can be used to improve cardiac patient's follow-up out-of-hospital. In this way, real-time transmission of the so-called ambulatory electrocardiogram (AECG) to a remote health application with awareness of the patient's context can support decision making(More)
The latest population-based studies in the medical literature worldwide indicate that acute myocardial infarction (AMI) patients still experience prolonged delay to be rescued, which often results in morbidity and mortality. This paper reports from a technological standpoint a teleconsultation and monitoring system named AToMS. This system addresses the(More)
Computational technologies have been increasingly explored to make biomedical knowledge and data more accessible for human understanding, comparison, analysis and communication. In this context, ontology has been recognized in the bioinformatics literature as a suitable technique for advancing knowledge and data representations in Biomedicine. Moreover,(More)
The ambulatory electrocardiogram (AECG) can be acquired and transmitted through mobile and wireless technologies and devices to foster heart’s telemonitoring anytime, anywhere. This sort of service is purposeful when combined with ECG analysis systems and infrastructural support for providing contextaware services. Such setting makes efficient emergency(More)
The vision of Υ-DB introduces deterministic scientific hypotheses as a kind of uncertain and probabilistic data, and opens some key technical challenges for enabling data-driven hypothesis management and analytics. The Υ-DB system addresses those challenges throughout a design-by-synthesis pipeline that defines its architecture. It processes hypotheses from(More)