利用非线性数学变换从正常静息心电图检测冠状动脉疾病。

Detection of coronary artery disease from the normal resting ECG using nonlinear mathematical transformation.

作者信息

Schreck D M, Ng L, Schreck B S, Bosco S F, Allegra J R, Zacharias D, Wortzel J V

机构信息

Morristown Memorial Hospital, Residency in Emergency Medicine, New Jersey.

出版信息

Ann Emerg Med. 1988 Feb;17(2):132-4. doi: 10.1016/s0196-0644(88)80298-1.

DOI:10.1016/s0196-0644(88)80298-1

PMID:3276247

Abstract

In order to enhance subtle changes not apparent in resting ECGs by conventional criteria, a computerized signal processing technique, biopotential coordinate transformation (BCT), has been developed to increase the physician's perceptibility of CAD in seemingly "normal" resting ECGs. ECGs initially read as normal then can be tested with this process to predict the presence or absence of CAD. A blinded, retrospective study of 93 Caucasian patients with normal ECGs was performed using coronary angiography as the test standard. The BCT process identified the presence or absence of CAD with an 84.3% sensitivity and 81.8% specificity in 62 men. Similarly, a 76.2% sensitivity and 80% specificity was obtained for 31 women. These results suggest that the BCT process may provide the emergency physician with a noninvasive screening test for the detection of CAD in patients with apparently normal resting ECGs. Further studies are necessary for process refinement and verification.

摘要

为了增强常规标准下静息心电图中不明显的细微变化，已经开发了一种计算机信号处理技术——生物电位坐标变换（BCT），以提高医生对看似“正常”静息心电图中冠心病（CAD）的感知能力。最初被判定为正常的心电图随后可以通过这个过程进行检测，以预测CAD的存在与否。以冠状动脉造影作为检测标准，对93例心电图正常的白种人患者进行了一项盲法回顾性研究。在62名男性中，BCT过程识别CAD存在与否的灵敏度为84.3%，特异度为81.8%。同样，在31名女性中，灵敏度为76.2%，特异度为80%。这些结果表明，BCT过程可能为急诊医生提供一种无创筛查测试，用于检测静息心电图看似正常的患者中的CAD。进一步的研究对于完善和验证该过程是必要的。