Hadoop for EEG Storage and Processing: A Feasibility Study

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

doi:10.1007/978-3-319-09891-3_21

Hadoop for EEG Storage and Processing: A Feasibility Study

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

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-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 language	English
Title of host publication	Proceedings of the International Conference on Brain Informatics and Health, BIH 2014, Warsaw, Poland
Editors	D. Slezak, A-H. Tan, J. F. Peters, L. Schwabe
Place of Publication	Berlin
Publisher	Springer Verlag
Pages	218-230
Number of pages	13
Volume	8609
DOIs	https://doi.org/10.1007/978-3-319-09891-3_21
Publication status	Published - 1 Aug 2014
Externally published	Yes

Publication series

Series	Lecture Notes in Computer Science

Keywords

EEG
Hadoop
medical data storage and processing

Access to Document

10.1007/978-3-319-09891-3_21

Cite this

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title = "Hadoop for EEG Storage and Processing: A Feasibility Study",

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.",

keywords = "EEG, Hadoop, medical data storage and processing",

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Berrada, G, Keulen, MV & Habib, MB 2014, Hadoop for EEG Storage and Processing: A Feasibility Study. in D Slezak, A-H Tan, JF Peters & L Schwabe (eds), Proceedings of the International Conference on Brain Informatics and Health, BIH 2014, Warsaw, Poland. vol. 8609, Springer Verlag, Berlin, Lecture Notes in Computer Science, pp. 218-230. https://doi.org/10.1007/978-3-319-09891-3_21

Hadoop for EEG Storage and Processing: A Feasibility Study. / Berrada, G.; Keulen, M. van; Habib, M. B.
Proceedings of the International Conference on Brain Informatics and Health, BIH 2014, Warsaw, Poland. ed. / D. Slezak; A-H. Tan; J. F. Peters; L. Schwabe. Vol. 8609 Berlin: Springer Verlag, 2014. p. 218-230 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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AB - 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.

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Berrada G, Keulen MV, Habib MB. Hadoop for EEG Storage and Processing: A Feasibility Study. In Slezak D, Tan AH, Peters JF, Schwabe L, editors, Proceedings of the International Conference on Brain Informatics and Health, BIH 2014, Warsaw, Poland. Vol. 8609. Berlin: Springer Verlag. 2014. p. 218-230. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-09891-3_21