XML-based ECG Management System

碩士 === 中華大學 === 資訊工程學系碩士班 === 94 === Electrocardiogram (ECG) is the most commonly used tool for diagnosis of heart-related diseases. In general, there are two types of output forms from commercial electrocardiographs: paper ECG and computerized digital format. In paper ECG, the measured electrocardi...

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Bibliographic Details
Main Authors: wen nan Chuang, 莊文南
Other Authors: Wen Ching Tzeng
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/9tzha8
Description
Summary:碩士 === 中華大學 === 資訊工程學系碩士班 === 94 === Electrocardiogram (ECG) is the most commonly used tool for diagnosis of heart-related diseases. In general, there are two types of output forms from commercial electrocardiographs: paper ECG and computerized digital format. In paper ECG, the measured electrocardiac signal and related information are printed on a sheet of A4-size paper. Paper ECG has been widely adopted as the standard output for most of commercial electrocardiographs. However, it is unfavorable for information exchange, information management, and signal analysis. To meet the requirement of hospital information system, most of modern electrocardiographs can also output digital electronic files (e-files). Nevertheless, e-files so generated are encoded in various proprietary formats. This not only increases operation cost, but hinders information exchange among different models. Due to the reasons mentioned above, this study transformed digital data obtained form commercial electrocardiographs into the XML-ECG format so that information in ECG can be conveniently exchanging and analyzed. In this study, we worked with a regional hospital, collected SCP-ECG data from electrocardiographs, and decoded SCP-ECG file to acquire raw data of 12-lead electrocardiac signal and related annotative information. The content of decoded SCP-ECG files was then transformed into the XML format based on HL7 and FDA standards. As for browing and analysis of ECG waveform, SVG was used to develop interactive SVG-ECG, not only providing a graphic ECG representation which is widely accepted by clinical physicians, but offering comparison and analysis of ECG data through interactivity of SVG.