Authors:
José Maria Monteiro
1
;
João Paulo do Vale Madeiro
2
;
Angelo Brayner
1
and
Narciso Arruda
1
Affiliations:
1
Department of Computing Science, Federal University of Ceará, Fortaleza, Ceará, 60440-900 and Brazil
;
2
Institute for Engineering and Sustainable Development, University for the International Integration of the Afro-Brazilian Lusophony, Redenç ão, Ceará, 62790-970 and Brazil
Keyword(s):
ECG Signal Processing, Pervasive and Mobile Platform, ECG Feature Extraction, Prediagnosis, Data Integration.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Cloud Computing
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Health Information Systems
;
Integration/Interoperability
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Mobile Software and Services
;
Ontologies and the Semantic Web
;
Semantic Web Technologies
;
Sensor Networks
;
Services Science
;
Simulation and Modeling
;
Software Agents and Internet Computing
;
Software and Architectures
;
Software Engineering
;
Software Engineering Methods and Techniques
;
Symbolic Systems
;
Telecommunications
;
Ubiquitous Computing
;
Web Services
;
Wireless and Mobile Computing
;
Wireless and Mobile Technologies
;
Wireless Information Networks and Systems
Abstract:
Electrocardiogram (ECG) is a widespread and efficient medical procedure for monitoring heart health. ECG is a fast, low-cost and non-invasive examination. Its output allows anomaly analysis by health experts. Despite its application in clinical environments, ECG acquisition and analysis as a daily routine is far from being a reality for a large part of the world’s population. In this context, we present here a mobile and pervasive platform, named MobileECG, which provides ECG signal acquisition, automatic feature extraction and real-time prediagnosis. Furthermore, MobileECG implements the ubiquitous computing features. Hence, it runs on mobile devices (smartphone or tablet), assuring this way anytime and anywhere access for anyone to its functionalities. MobileECG is in fact an ubiquitous Heart Health Guardian. Besides, MobileECG supports ECG data integration and publication using Linked Data technology, providing a public knowledge base, which may be used to support complex queries,
run mining algorithms and yield collaboration among experts.
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