Ferraioli A, Scotto di Quaquaro G, Murino G, Romaldo C, Di Mauro G
Biomedical Engineering Consultancy, Cava dei Tirreni, Salerno, Italy.
J Clin Monit. 1990 Oct;6(4):307-17. doi: 10.1007/BF02842490.
The analysis of records collected during long-term ambulatory electrocardiographic monitoring has traditionally involved the review of massive data, either manually or with the aid of interactive scanning computers. Many factors complicate this analysis, including the use of analog tape for storage of electrocardiographic waveforms, the need to analyze 100,000 waveforms from an average 24-hour study, and the need to deal with an interface that compresses 24 hours of data into as little as 6 minutes on a screen. Today, the computer incorporated in the monitor can scrutinize each cardiac cycle in real time. The system produces a statistical report based on every heart beat and also performs data reduction and storage of electrocardiograph samples. To assess real-time analysis we examined data collected from the Circadian CircaMed ambulatory electrocardiography system. We found that it could detect and quantify simple or complex ventricular ectopic beats, brady- or tachyarrhythmic events, and ST-segment deviation. One hundred fifty patients 21 to 85 years old with symptoms or clinical finding suggestive of ischemia, cardiac arrhythmia, or conductive defects were referred to our electrocardiography laboratory for ambulatory monitoring. The results demonstrate that this system can detect the full range of cardiac disease found with the traditional method. Of the 150 patients, ambulatory electrocardiographic tests were positive in 93 (62%). In addition, we developed a methodology for lead placement when using two bipolar leads, as is typical for ambulatory electrocardiography. We present a procedure for determining the optimum lead placement that is based on the patient's history and a 12-lead electrocardiogram.
长期动态心电图监测期间收集的记录分析传统上涉及大量数据的审查,要么手动审查,要么借助交互式扫描计算机进行审查。许多因素使这种分析变得复杂,包括使用模拟磁带存储心电图波形、平均24小时研究需要分析100,000个波形,以及需要处理一个在屏幕上把24小时数据压缩至短短6分钟的界面。如今,监测仪中内置的计算机能够实时仔细检查每个心动周期。该系统基于每一次心跳生成一份统计报告,还会进行数据精简并存储心电图样本。为了评估实时分析,我们检查了从昼夜CircaMed动态心电图系统收集的数据。我们发现它能够检测并量化简单或复杂的室性早搏、缓慢性或快速性心律失常事件以及ST段偏移。150名年龄在21至85岁之间、有提示缺血、心律失常或传导缺陷症状或临床发现的患者被转至我们的心电图实验室进行动态监测。结果表明,该系统能够检测出传统方法所能发现的所有类型的心脏疾病。在这150名患者中,动态心电图检查有93例(62%)呈阳性。此外,我们开发了一种在使用两个双极导联时的导联放置方法,这在动态心电图检查中很常见。我们提出了一种基于患者病史和12导联心电图来确定最佳导联放置的程序。