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Metadata Web Searching EEG Signal

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Advances in Core Computer Science-Based Technologies

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 14))

Abstract

In this paper, the problem of developing appropriate information search and retrieve mechanisms and tools in the web environment, is investigated. This problem is of great interest to those in information technology, since a vast amount of heterogeneous data are available, end so, are not interoperable on the Web to researchers or other interest groups. The problem is addressed here using, as, effective encoding for locating and sharing a very specific class of data, that of uniform diagnostic EEG features. In this study is proposed a suitable metadata schema, based on knowledge of medical EEG signal processing. The defined schema tries to initiate a dialog for further development of metadata specific formats of EEG recordings. The final aim of this study is to offer a web searching tool for data recorded and stored in a different operational structure or using several software and hardware systems, in a uniform EEG data collection for research and research purposes.

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Authors and Affiliations

  1. Laboratory of Information Technology-Faculty of Information Sciences and Informatics, Ionian University, Corfu, Greece

    Marios Poulos & Sozon Papavlasopoulos

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  1. Marios Poulos
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  2. Sozon Papavlasopoulos
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Correspondence to Marios Poulos .

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Editors and Affiliations

  1. Department of Informatics, University of Piraeus, Piraeus, Greece

    George A. Tsihrintzis

  2. Department of Informatics, University of Piraeus, Piraeus, Greece

    Maria Virvou

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Poulos, M., Papavlasopoulos, S. (2021). Metadata Web Searching EEG Signal. In: Tsihrintzis, G., Virvou, M. (eds) Advances in Core Computer Science-Based Technologies. Learning and Analytics in Intelligent Systems, vol 14. Springer, Cham. https://doi.org/10.1007/978-3-030-41196-1_17

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  • DOI: https://doi.org/10.1007/978-3-030-41196-1_17

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