An XML format for electroencephalogram data presentation (eegML)

Xiaowei Zhang, Bin Hu, Lin Zhou, Jing Chen, Philip Moore

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

1 Citation (Scopus)

Abstract

With the development of the electronic health record, sharing biomedical and healthcare data among heterogeneous systems has great potential to benefit both clinical healthcare and scientific research. Standardizing the data presentation is the best solution to exchange them among heterogeneous systems. However, electroencephalogram (EEG) data has met problems since existing diverse data formats are unsuitable for this purpose. To address this problem we introduce an XML-based data presentation method named eegML for EEG in this paper. Based on advantages of XML technologies, eegML is a generic system- and application-independent and flexible open solution to the effective presentation of EEG data. Besides, eegML could also be used to aid knowledge management and discovery in biomedical and healthcare informatics. This format, if widely adopted, could better promote EEG data management and mining.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
Pages584-588
Number of pages5
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013 - Shanghai, China
Duration: 18 Dec 201321 Dec 2013

Publication series

NameProceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013

Conference

Conference2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
Country/TerritoryChina
CityShanghai
Period18/12/1321/12/13

Keywords

  • Data presentation
  • EEG data
  • Healthcare data management
  • XML

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