Lobodzinski Suave M, Teppner Ulrich, Laks Michael
Department of Electrical and Biomedical Engineering, California State University, Long Beach 90840, USA.
J Electrocardiol. 2003;36 Suppl:151-5. doi: 10.1016/j.jelectrocard.2003.09.040.
Baseline examinations and periodic reexaminations in longitudinal population studies, together with ongoing surveillance for morbidity and mortality, provide unique opportunities for seeking ways to enhance the value of electrocardiography (ECG) as an inexpensive and noninvasive tool for prognosis and diagnosis. We used newly developed optical ECG waveform recognition (OEWR) technique capable of extracting raw waveform data from legacy hard copy ECG recording. Hardcopy ECG recordings were scanned and processed by the OEWR algorithm. The extracted ECG datasets were formatted into a newly proposed, vendor-neutral, ECG XML data format. Oracle database was used as a repository for ECG records in XML format. The proposed technique for XML encapsulation of OEWR processed hard copy records resulted in an efficient method for inclusion of paper ECG records into research databases, thus providing their preservation, reuse and accession.
在纵向人群研究中进行基线检查和定期复查，以及对发病率和死亡率的持续监测，为寻求提高心电图（ECG）作为一种廉价且无创的预后和诊断工具的价值提供了独特机会。我们使用了新开发的光学心电图波形识别（OEWR）技术，该技术能够从传统硬拷贝心电图记录中提取原始波形数据。硬拷贝心电图记录由OEWR算法进行扫描和处理。提取的心电图数据集被格式化为一种新提出的、与供应商无关的心电图XML数据格式。Oracle数据库被用作XML格式心电图记录的存储库。所提出的用于对OEWR处理的硬拷贝记录进行XML封装的技术，产生了一种将纸质心电图记录纳入研究数据库的有效方法，从而实现了它们的保存、再利用和获取。
