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A Proposed Scalable Environment for Medical Data Processing and Evaluation
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Author(s): Csaba Horváth (Budapest University of Technology and Economics, Hungary), Gábor Fodor (Budapest University of Technology and Economics, Hungary), Ferenc Kovács (Budapest University of Technology and Economics, Hungary)and Gábor Hosszú (Budapest University of Technology and Economics, Budapest, Hungary)
Copyright: 2010
Pages: 11
Source title:
Handbook of Research on Developments in E-Health and Telemedicine: Technological and Social Perspectives
Source Author(s)/Editor(s): Maria Manuela Cruz-Cunha (Polytechnic Institute of Cavado and Ave, Portugal), Antonio J. Tavares (Polytechnic Institute of Cavado and Ave, Portugal)and Ricardo Simoes (Polytechnic Institute of Cavado and Ave and University of Minho, Portugal)
DOI: 10.4018/978-1-61520-670-4.ch028
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Abstract
Cardiotocography (CTG) is widely used for antenatal monitoring and assessment of fetal well-being. CTG measurement methods based on the phonocardiographic principle and a home-monitoring system utilizing low-cost devices for data acquisition have been proposed and implemented by our research group. Assessment and storage of the recordings are carried out in medical centers, and their calculation capacity is no longer enough to evaluate the ever-increasing amount of incoming data on the constantly growing number of different assessment methods. The present work proposes a new method to create an easily scalable environment based on a P2P principle to share the workload and data between medical centers, while also representing a framework for discovering new correlations between evaluation method results and symptoms of fetal diseases.
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