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使用从体表电位图导出的正交基函数有效提取诊断性心电图波形信息。

Effective extraction of diagnostic ECG waveform information using orthonormal basis functions derived from body surface potential maps.

作者信息

Kornreich F, Rautaharju P M, Warren J W, Horacek B M, Dramaix M

出版信息

J Electrocardiol. 1985 Oct;18(4):341-50. doi: 10.1016/s0022-0736(85)80016-9.

DOI:10.1016/s0022-0736(85)80016-9
PMID:3840830
Abstract

A common basis of orthogonal waveform functions was derived from 128 lead body surface potential maps of 405 subjects. Twelve such orthogonal functions or frames were adequate for reconstruction of original ECGs from the beginning of QRS to the end of T. A larger number of frames (18) was required when basis functions were derived separately for QRS (10) and ST-T segments (8). Diagnostic information content of the coefficients of the orthogonal basis functions was evaluated in comparison with Minnesota Code criteria for myocardial infarction and with a more advanced multivariate ECG analysis program (Pipberger Program). This was done by deriving a linear discriminant function for separating normals from ECGs of patients with myocardial infarction and testing the discriminant in a different test population of infarcts and normals. The diagnostic accuracy of orthogonal basis functions was as good as that of Pipberger's program and considerably better than that of the Minnesota Code. The classification method described is insensitive to noise and errors in detecting QRS and T wave onsets and offsets or in selecting proper baseline for amplitude measurements. The robustness and enhanced classification stability with respect to noise and minor wave detection errors is a potential advantage particularly in serial ECG comparison.

摘要

从405名受试者的128导联体表电位图中导出了正交波形函数的通用基础。十二个这样的正交函数或框架足以从QRS波起点到T波终点重建原始心电图。当分别为QRS波(10个)和ST-T段(8个)导出基函数时,则需要更多数量的框架(18个)。将正交基函数系数的诊断信息内容与心肌梗死的明尼苏达编码标准以及更先进的多变量心电图分析程序(皮普伯格程序)进行了比较评估。这是通过推导一个线性判别函数来将正常人与心肌梗死患者的心电图区分开,并在另一个不同的梗死患者和正常人测试群体中测试该判别函数来实现的。正交基函数的诊断准确性与皮普伯格程序相当,且远优于明尼苏达编码。所描述的分类方法对检测QRS波和T波起始与终点时的噪声和误差,或在选择合适的基线进行幅度测量时不敏感。相对于噪声和小波检测误差而言,其稳健性以及增强的分类稳定性是一个潜在优势,尤其在连续心电图比较中。

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