Abstract
Hypertension, also known as high or raised blood pressure, is a global public health issue that already affects one billion people worldwide, leading to heart attacks and strokes. As most hypertensive people have no symptoms at all, self-monitoring plays an important role in preventing or minimizing the risk of deadly complications. This study presents an intelligent telehealth system to help people perform this long-term management of hypertension easily and validly. It is composed of an electronic sphygmomanometer (i.e. blood pressure monitor) supporting 3G network, a central server for collecting and managing users’ data, an ontology based decision support agent and a semantic web service for transmitting prescriptions to service users. A preliminary experimental platform has been constructed to test the performance of the system. The results indicate that the proposed system architecture can work effectively and alleviate the effort of a health expert particularly at primary care level.
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© 2014 Springer International Publishing Switzerland
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Zhu, J., Min, C., Wang, F. (2014). An Ontology Based Intelligent Telehealth System for Long-Term Management of Hypertension. In: Zhang, YT. (eds) The International Conference on Health Informatics. IFMBE Proceedings, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-319-03005-0_21
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DOI: https://doi.org/10.1007/978-3-319-03005-0_21
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03004-3
Online ISBN: 978-3-319-03005-0
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