Abstract:
BACKGROUND:The storage and distribution of electrocardiogram data is based on different formats. There is a need to promote the development of standards for their exchange and analysis. Such models should be platform-/ system- and application-independent, flexible and open to every member of the scientific community. METHODS:A minimum set of information for the representation and storage of electrocardiogram signals has been synthesised from existing recommendations. This specification is encoded into an XML-vocabulary. The model may aid in a flexible exchange and analysis of electrocardiogram information. RESULTS:Based on advantages of XML technologies, ecgML has the ability to present a system-, application- and format-independent solution for representation and exchange of electrocardiogram data. The distinction between the proposal developed by the U.S Food and Drug Administration and ecgML model is given. A series of tools, which aim to facilitate ecgML-based applications, are presented. CONCLUSIONS:The models proposed here can facilitate the generation of a data format, which opens ways for better and clearer interpretation by both humans and machines. Its structured and transparent organisation will allow researchers to expand and test its capabilities in different application domains. The specification and programs for this protocol are publicly available.
journal_name
BMC Med Inform Decis Makjournal_title
BMC medical informatics and decision makingauthors
Wang H,Azuaje F,Jung B,Black Ndoi
10.1186/1472-6947-3-4keywords:
subject
Has Abstractpub_date
2003-05-07 00:00:00pages
4issn
1472-6947journal_volume
3pub_type
杂志文章abstract:BACKGROUND:Collaboration among investigators has become critical to scientific research. This includes ad hoc collaboration established through personal contacts as well as formal consortia established by funding agencies. Continued growth in online resources for scientific research and communication has promoted the d...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-7-17
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journal_title:BMC medical informatics and decision making
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更新日期:2016-11-24 00:00:00
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,随机对照试验
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abstract:BACKGROUND:The Kentucky Cancer Registry (KCR) is a central cancer registry for the state of Kentucky that receives data about incident cancer cases from all healthcare facilities in the state within 6 months of diagnosis. Similar to all other U.S. and Canadian cancer registries, KCR uses a data dictionary provided by t...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
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journal_title:BMC medical informatics and decision making
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journal_title:BMC medical informatics and decision making
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journal_title:BMC medical informatics and decision making
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journal_title:BMC medical informatics and decision making
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pub_type: 杂志文章
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更新日期:2011-10-12 00:00:00
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pub_type: 杂志文章
doi:10.1186/s12911-016-0246-y
更新日期:2016-01-26 00:00:00
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journal_title:BMC medical informatics and decision making
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更新日期:2004-06-28 00:00:00
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更新日期:2015-07-15 00:00:00
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journal_title:BMC medical informatics and decision making
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更新日期:2020-11-16 00:00:00
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pub_type: 杂志文章,多中心研究
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journal_title:BMC medical informatics and decision making
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