Hadoop for EEG Storage and Processing: A Feasibility Study

G. Berrada, M. van Keulen, M. B. Habib

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

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 languageEnglish
Title of host publicationProceedings of the International Conference on Brain Informatics and Health, BIH 2014, Warsaw, Poland
EditorsD. Slezak, A-H. Tan, J. F. Peters, L. Schwabe
Place of PublicationBerlin
PublisherSpringer Verlag
Pages218-230
Number of pages13
Volume8609
Publication statusPublished - 1 Aug 2014

Publication series

SeriesLecture Notes in Computer Science

Keywords

  • EEG
  • Hadoop
  • medical data storage and processing

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