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

^*Corresponding author for this work

Population Health Sciences

University of Twente

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

4 Citations (Scopus)

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 - International Conference, BIH 2014, Proceedings
Publisher	Springer Verlag
Pages	218-230
Number of pages	13
ISBN (Print)	9783319098906
DOIs	https://doi.org/10.1007/978-3-319-09891-3_21
Publication status	Published - 2014
Event	2014 International Conference on Brain Informatics and Health, BIH 2014 - Warsaw, Poland Duration: 11 Aug 2014 → 14 Aug 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8609 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2014 International Conference on Brain Informatics and Health, BIH 2014
Country/Territory	Poland
City	Warsaw
Period	11/08/2014 → 14/08/2014

Keywords

EEG
Hadoop
medical data storage and processing

Access to Document

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

Cite this

Berrada, G., Van Keulen, M., & Habib, M. B. (2014). Hadoop for EEG storage and processing: A feasibility study. In Brain Informatics and Health - International Conference, BIH 2014, Proceedings (pp. 218-230). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8609 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-09891-3_21

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Berrada, G, Van Keulen, M & Habib, MB 2014, Hadoop for EEG storage and processing: A feasibility study. in Brain Informatics and Health - International Conference, BIH 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8609 LNAI, Springer Verlag, pp. 218-230, 2014 International Conference on Brain Informatics and Health, BIH 2014, Warsaw, Poland, 11/08/2014. 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, Proceedings. Springer Verlag, 2014. p. 218-230 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8609 LNAI).

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

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AU - Van Keulen, Maurice

AU - Habib, Mena B.

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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, Van Keulen M, Habib MB. Hadoop for EEG storage and processing: A feasibility study. In Brain Informatics and Health - International Conference, BIH 2014, Proceedings. Springer Verlag. 2014. p. 218-230. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-09891-3_21

Hadoop for EEG storage and processing: A feasibility study

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