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Quantifying X-Ray Fluorescence Data Using MAPS

Quantifying X-Ray Fluorescence Data Using MAPS

Published on: February 17, 2018

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

Raymond R Bond¹, Dewar D Finlay, Chris D Nugent

¹Computer Science Research Institute, University of Ulster, Antrim, UK. bond-r@email.ulster.ac.uk

BMC Medical Informatics and Decision Making

|May 18, 2010

Summary

This summary is machine-generated.

A new XML format was developed to store Body Surface Potential Map (BSPM) data, enabling easier sharing and analysis of heart electrical activity. This innovation aims to improve interoperability for telemonitoring applications.

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Area of Science:

Biomedical Engineering
Medical Informatics
Cardiology

Background:

Body Surface Potential Mapping (BSPM) offers superior accuracy over 12-lead ECG for certain cardiac conditions.
The 12-lead ECG remains the predominant method despite BSPM's diagnostic advantages.
Lack of standardized open formats hinders BSPM data sharing and integration.

Purpose of the Study:

To introduce an innovative, human-readable XML format for storing Body Surface Potential Map (BSPM) datasets.
To address the absence of standardized formats for BSPM data, which impedes its widespread use.
To facilitate the storage and sharing of BSPM data, enhancing its clinical applicability.

Main Methods:

Developed a versatile XML-BSPM format using XML vocabulary for human readability.
Incorporated support for custom torso diagrams via SVG graphics to accommodate diverse electrode configurations (11+ variants).
Enabled storage of electrode positions within a 2D coordinate system.

Main Results:

Successfully stored Kornreich-117 and Lux-192 BSPM datasets using the XML-BSPM format.
Achieved file sizes of approximately 277 KB per recording, suitable for telemonitoring.
Demonstrated potential for further size reduction using compression algorithms like deflate.
Validated parsing and visualization capabilities with a web-based BSPM viewer.

Conclusions:

The proposed XML-BSPM format can significantly enhance BSPM interoperability, knowledge sharing, and data mining.
This work provides a foundation for a comprehensive BSPM management system.
Offers conceptual solutions that could inspire improvements in existing formats like DICOM, SCP-ECG, and aECG to support BSPM data.