Hadoop for EEG Storage and Processing: A Feasibility Study

Ghita Berrada, Maurice van Keulen, Mena Badieh Habib

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

Lots of heterogeneous complex data are collected for diagnosis purposes. Such data should be shared between all caregivers and, often at least partly automatically processed, due to its complexity, for its full potential to be harnessed. This paper is a feasibility study that assesses the potential of Hadoop as a medical data storage and processing platform using EEGs as example of medical data.
Original languageUndefined
Title of host publicationProceedings of the International Conference on Brain Informatics and Health, BIH 2014
EditorsDominik Slezak, Ah-Hwee Tan, James F. Peters, Lars Schwabe
Place of PublicationBerlin
PublisherSpringer
Pages218-230
Number of pages13
ISBN (Print)978-3-319-09890-6
DOIs
Publication statusPublished - Aug 2014

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
Volume8609
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • EWI-24947
  • medical data storage and processing
  • METIS-305965
  • EEG
  • IR-91923
  • Hadoop

Cite this

Berrada, G., van Keulen, M., & Habib, M. B. (2014). Hadoop for EEG Storage and Processing: A Feasibility Study. In D. Slezak, A-H. Tan, J. F. Peters, & L. Schwabe (Eds.), Proceedings of the International Conference on Brain Informatics and Health, BIH 2014 (pp. 218-230). (Lecture Notes in Computer Science; Vol. 8609). Berlin: Springer. https://doi.org/10.1007/978-3-319-09891-3_21