Hadoop for EEG Storage and Processing: A Feasibility Study

Ghita Berrada; Maurice van Keulen; Mena B. Habib

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

Hadoop for EEG Storage and Processing: A Feasibility Study

Ghita Berrada, Maurice van Keulen, Mena B. Habib

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	Brain Informatics and Health
Subtitle of host publication	International Conference BIH 2014, Warsaw, Poland, August 11-14, 2014, Proceedings
Editors	Dominik lȩzak, Ah-Hwee Tan, James F. Peters, Lars Schwabe
Place of Publication	Cham
Publisher	Springer International Publishing
Pages	218-230
Number of pages	13
ISBN (Electronic)	978-3-319-09891-3
ISBN (Print)	978-3-319-09890-6
DOIs	https://doi.org/10.1007/978-3-319-09891-3_21
Publication status	Published - 2014

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer International Publishing
Volume	8609
ISSN (Print)	0302-9743

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

http://link.springer.com/chapter/10.1007%2F978-3-319-09891-3_21

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Berrada, G., van Keulen, M., & Habib, M. B. (2014). Hadoop for EEG Storage and Processing: A Feasibility Study. In D. lȩzak, A-H. Tan, J. F. Peters, & L. Schwabe (Eds.), Brain Informatics and Health: International Conference BIH 2014, Warsaw, Poland, August 11-14, 2014, Proceedings (pp. 218-230). (Lecture Notes in Computer Science; Vol. 8609). Springer International Publishing. https://doi.org/10.1007/978-3-319-09891-3_21

Berrada, Ghita ; van Keulen, Maurice ; Habib, Mena B. / Hadoop for EEG Storage and Processing: A Feasibility Study. Brain Informatics and Health: International Conference BIH 2014, Warsaw, Poland, August 11-14, 2014, Proceedings. editor / Dominik lȩzak ; Ah-Hwee Tan ; James F. Peters ; Lars Schwabe. Cham : Springer International Publishing, 2014. pp. 218-230 (Lecture Notes in Computer Science).

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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.",

author = "Ghita Berrada and {van Keulen}, Maurice and Habib, {Mena B.}",

year = "2014",

doi = "10.1007/978-3-319-09891-3_21",

language = "English",

isbn = "978-3-319-09890-6",

series = "Lecture Notes in Computer Science",

publisher = "Springer International Publishing",

pages = "218--230",

editor = "Dominik lȩzak and Ah-Hwee Tan and Peters, {James F.} and Lars Schwabe",

booktitle = "Brain Informatics and Health",

}

Berrada, G, van Keulen, M & Habib, MB 2014, Hadoop for EEG Storage and Processing: A Feasibility Study. in D lȩzak, A-H Tan, JF Peters & L Schwabe (eds), Brain Informatics and Health: International Conference BIH 2014, Warsaw, Poland, August 11-14, 2014, Proceedings. Lecture Notes in Computer Science, vol. 8609, Springer International Publishing, Cham, pp. 218-230. https://doi.org/10.1007/978-3-319-09891-3_21

Hadoop for EEG Storage and Processing: A Feasibility Study. / Berrada, Ghita; van Keulen, Maurice; Habib, Mena B.

Brain Informatics and Health: International Conference BIH 2014, Warsaw, Poland, August 11-14, 2014, Proceedings. ed. / Dominik lȩzak; Ah-Hwee Tan; James F. Peters; Lars Schwabe. Cham : Springer International Publishing, 2014. p. 218-230 (Lecture Notes in Computer Science; Vol. 8609).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Hadoop for EEG Storage and Processing: A Feasibility Study

AU - Berrada, Ghita

AU - van Keulen, Maurice

AU - Habib, Mena B.

PY - 2014

Y1 - 2014

N2 - 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.

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.

U2 - 10.1007/978-3-319-09891-3_21

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

M3 - Conference contribution

SN - 978-3-319-09890-6

T3 - Lecture Notes in Computer Science

SP - 218

EP - 230

BT - Brain Informatics and Health

A2 - lȩzak, Dominik

A2 - Tan, Ah-Hwee

A2 - Peters, James F.

A2 - Schwabe, Lars

PB - Springer International Publishing

CY - Cham

ER -

Berrada G, van Keulen M, Habib MB. Hadoop for EEG Storage and Processing: A Feasibility Study. In lȩzak D, Tan A-H, Peters JF, Schwabe L, editors, Brain Informatics and Health: International Conference BIH 2014, Warsaw, Poland, August 11-14, 2014, Proceedings. Cham: Springer International Publishing. 2014. p. 218-230. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-09891-3_21

Hadoop for EEG Storage and Processing: A Feasibility Study

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