Hadoop for EEG Storage and Processing: A Feasibility Study

Ghita Berrada, Maurice van Keulen, Mena B. Habib

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 publicationBrain Informatics and Health
Subtitle of host publicationInternational Conference BIH 2014, Warsaw, Poland, August 11-14, 2014, Proceedings
EditorsDominik lȩzak, Ah-Hwee Tan, James F. Peters, Lars Schwabe
Place of PublicationCham
PublisherSpringer International Publishing
Number of pages13
ISBN (Electronic)978-3-319-09891-3
ISBN (Print)978-3-319-09890-6
Publication statusPublished - 2014

Publication series

NameLecture Notes in Computer Science
PublisherSpringer International Publishing
ISSN (Print)0302-9743


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