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Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients

  • Patient Facing Systems
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Abstract

New generation of healthcare is represented by wearable health monitoring systems, which provide real-time monitoring of patient’s physiological parameters. It is expected that continuous ambulatory monitoring of vital signals will improve treatment of patients and enable proactive personal health management. In this paper, we present the implementation of a multimodal real-time system for epilepsy management. The proposed methodology is based on a data streaming architecture and efficient management of a big flow of physiological parameters. The performance of this architecture is examined for varying spatial resolution of the recorded data.

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Acknowledgments

The research reported in the present paper was partially supported by the ARMOR Project (FP7-ICT-2011-5.1 - 287720) “Advanced multi-paRametric Monitoring and analysis for diagnosis and Optimal management of epilepsy and Related brain disorders”, co-funded by the European Commission under the Seventh’ Framework Programme.

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Authors and Affiliations

  1. Multidimensional Data Analysis and Knowledge Management Laboratory, Department of Computer Engineering and Informatics, University of Patras, 26500, Rion-Patras, Greece

    Dimitrios Triantafyllopoulos, Panagiotis Korvesis, Iosif Mporas & Vasileios Megalooikonomou

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  1. Dimitrios Triantafyllopoulos
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  2. Panagiotis Korvesis
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  3. Iosif Mporas
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  4. Vasileios Megalooikonomou
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Correspondence to Iosif Mporas.

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This article is part of the Topical Collection on Patient Facing Systems

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Triantafyllopoulos, D., Korvesis, P., Mporas, I. et al. Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients. J Med Syst 40, 45 (2016). https://doi.org/10.1007/s10916-015-0403-3

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