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Design of Semantic-based Transducer Electronic Data Sheet for Semantic Wearable ECG Monitoring Systems (SemWECG)
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Journal of Health & Medical Informatics

ISSN: 2157-7420

Open Access

Design of Semantic-based Transducer Electronic Data Sheet for Semantic Wearable ECG Monitoring Systems (SemWECG)


3rd International Conference on Health Informatics and Technology

June 29-30, 2016 New Orleans, USA

Ajigboye S Olamidipupo

Kingston University, London, UK

Posters & Accepted Abstracts: J Health Med Inform

Abstract :

This paper presents a semantic approach to store and read Transducer Electronic Data Sheets (TEDS) that is compliant with IEEE 21451.4 standard. The design focus on the use of TEDS to improve the performance of wireless wearable Electrocardiogram (ECG) monitoring devices; semantic TEDS is created using OWL language, with emphasis on the contextual metadata; temporal metadata and thematic metadata, that gives detail expressivity to acquired and transmitted patients� vital signs (ECG) to the health care information systems. To develop the ontology fact-based approach to domain modeling is used to enable us capture the structural and behavioral features of the problem and as well as the solution, this was to enhance the semantic mapping to the HL7 standard use for medical information messaging, and to allow the TEDS ontology to offer an additional self-awareness i.e. communication nodes will undertsnad their own structure and can modify their functions at runtime, also the nodes can query the capabilities and current states of other nodes allowing them to modify the processing packets during communciation session both at the source and the destination. Finally the use of the ontology will add flexibility, inferencing, and reasoning features that are not available with ad hoc data structuires or database schemas.

Biography :

Email: O.S.Ajigboye@kingston.ac.uk

Google Scholar citation report
Citations: 2700

Journal of Health & Medical Informatics received 2700 citations as per Google Scholar report

Journal of Health & Medical Informatics peer review process verified at publons

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