Literature DB >> 20470392

XML-BSPM: an XML format for storing Body Surface Potential Map recordings.

Raymond R Bond1, Dewar D Finlay, Chris D Nugent, George Moore.   

Abstract

BACKGROUND: The Body Surface Potential Map (BSPM) is an electrocardiographic method, for recording and displaying the electrical activity of the heart, from a spatial perspective. The BSPM has been deemed more accurate for assessing certain cardiac pathologies when compared to the 12-lead ECG. Nevertheless, the 12-lead ECG remains the most popular ECG acquisition method for non-invasively assessing the electrical activity of the heart. Although data from the 12-lead ECG can be stored and shared using open formats such as SCP-ECG, no open formats currently exist for storing and sharing the BSPM. As a result, an innovative format for storing BSPM datasets has been developed within this study.
METHODS: The XML vocabulary was chosen for implementation, as opposed to binary for the purpose of human readability. There are currently no standards to dictate the number of electrodes and electrode positions for recording a BSPM. In fact, there are at least 11 different BSPM electrode configurations in use today. Therefore, in order to support these BSPM variants, the XML-BSPM format was made versatile. Hence, the format supports the storage of custom torso diagrams using SVG graphics. This diagram can then be used in a 2D coordinate system for retaining electrode positions.
RESULTS: This XML-BSPM format has been successfully used to store the Kornreich-117 BSPM dataset and the Lux-192 BSPM dataset. The resulting file sizes were in the region of 277 kilobytes for each BSPM recording and can be deemed suitable for example, for use with any telemonitoring application. Moreover, there is potential for file sizes to be further reduced using basic compression algorithms, i.e. the deflate algorithm. Finally, these BSPM files have been parsed and visualised within a convenient time period using a web based BSPM viewer.
CONCLUSIONS: This format, if widely adopted could promote BSPM interoperability, knowledge sharing and data mining. This work could also be used to provide conceptual solutions and inspire existing formats such as DICOM, SCP-ECG and aECG to support the storage of BSPMs. In summary, this research provides initial ground work for creating a complete BSPM management system.

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Year:  2010        PMID: 20470392      PMCID: PMC2883957          DOI: 10.1186/1472-6947-10-28

Source DB:  PubMed          Journal:  BMC Med Inform Decis Mak        ISSN: 1472-6947            Impact factor:   2.796


  14 in total

Review 1.  Uncertainty of the electrocardiogram: old and new ideas for assessment and interpretation.

Authors:  R L Lux
Journal:  J Electrocardiol       Date:  2000       Impact factor: 1.438

2.  Standards for biomedical signal databases.

Authors:  A Värri; B Kemp; T Penzel; A Schlögl
Journal:  IEEE Eng Med Biol Mag       Date:  2001 May-Jun

3.  Introduction to the DICOM standard.

Authors:  Peter Mildenberger; Marco Eichelberg; Eric Martin
Journal:  Eur Radiol       Date:  2001-09-15       Impact factor: 5.315

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Authors:  R Hoekema; G J Uijen; A van Oosterom
Journal:  J Electrocardiol       Date:  1999-04       Impact factor: 1.438

5.  An accurate, clinically practical system for spatial vectorcardiography.

Authors:  E FRANK
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6.  Isointegral analysis of body surface maps: surface distribution and temporal variability in normal subjects.

Authors:  T J Montague; E R Smith; D A Cameron; P M Rautaharju; G A Klassen; C S Felmington; B M Horacek
Journal:  Circulation       Date:  1981-05       Impact factor: 29.690

7.  Statistical and deterministic approaches to designing transformations of electrocardiographic leads.

Authors:  B Milan Horácek; James W Warren; Dirk Q Feild; Charles L Feldman
Journal:  J Electrocardiol       Date:  2002       Impact factor: 1.438

8.  Comparison of the 80-lead body surface map to physician and to 12-lead electrocardiogram in detection of acute myocardial infarction.

Authors:  Anthony J J McClelland; Colum G Owens; Ian B A Menown; Mark Lown; A A Jennifer Adgey
Journal:  Am J Cardiol       Date:  2003-08-01       Impact factor: 2.778

Review 9.  Electrocardiographic body surface mapping: potential tool for the detection of transient myocardial ischemia in the 21st century?

Authors:  Monique R Robinson; Nicholas Curzen
Journal:  Ann Noninvasive Electrocardiol       Date:  2009-04       Impact factor: 1.468

10.  A markup language for electrocardiogram data acquisition and analysis (ecgML).

Authors:  Haiying Wang; Francisco Azuaje; Benjamin Jung; Norman Black
Journal:  BMC Med Inform Decis Mak       Date:  2003-05-07       Impact factor: 2.796

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  2 in total

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Journal:  Doc Ophthalmol       Date:  2017-11-11       Impact factor: 2.379

2.  Non-contact ECG sensing employing gradiometer electrodes.

Authors:  GuoChen Peng; Mark F Bocko
Journal:  IEEE Trans Biomed Eng       Date:  2012-09-18       Impact factor: 4.538

  2 in total

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