title: SignalML: metaformat for description of biomedical time series.
abstract: This paper introduces a complete and elegant solution to the problem of inherent incompatibility of different formats used for digital storage of biomedical time series (in particular EEG) and their annotations. We define a simple XML-based language, in which information on the structure of binary data files can be simply and efficiently coded. In most cases, description of an existing format takes relatively few lines of XML code. Once written, this information can be used by any software, which, owing to this meta-description, may read the original data files, thus eliminating the need for conversions and duplication of data. This proposition is hereby submitted to an open discussion within the community involved in relevant research, clinical and commercial applications. Links to the current version of the XML Schema defining the language and pilot implementation of a compliant viewer/annotator are located at http://eeg.pl/SignalML/.
authors.affiliation: Laboratory of Medical Physics, Institute of Experimental Physics, Warsaw University, ul. Hoza 69, 00-681 Warsaw, Poland. durka@fuw.edu.pl
authors.forename: Piotr J
authors.initials: PJ
authors.lastname: Durka
authors.forename: Dobiesław
authors.initials: D
authors.lastname: Ircha
mesh_terms: D003628:Database Management Systems; D004569:Electroencephalography; D001330:Electronic Data Processing / Q000379:methods*; D006801:Humans; D019146:Hypermedia; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D011381:Programming Languages; D012984:Software; D012985:Software Design; D018511:Systems Integration; D013995:Time; D013997:Time Factors