An XML format for electroencephalogram data presentation (eegML)

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

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

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.

源语言英语
主期刊名Proceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
584-588
页数5
DOI
出版状态已出版 - 2013
已对外发布
活动2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013 - Shanghai, 中国
期限: 18 12月 201321 12月 2013

出版系列

姓名Proceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013

会议

会议2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
国家/地区中国
Shanghai
时期18/12/1321/12/13

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