Bessette F, Nguyen L
Department of Physiology and Biophysics, Faculty of Medicine, University of Sherbrooke, Quebec, Canada.
Med Inform (Lond). 1989 Jan-Mar;14(1):43-51. doi: 10.3109/14639238909010878.
The overwhelming number of electrocardiograms (ECGs) now recorded routinely has prompted the development of computer analysis which in turn has benefited electrocardiography with important technological advances. All automated ECG analysis systems adopt a similar approach: a measurement program and a program that interprets the clinical significance of these measurements along with a rhythm analysis algorithm. Measurement, selection and classification of parameters vary according to the program used. Data compression is applied to the signal to reduce processing time and allow long-term storage. Diagnostic accuracy, however, is not greatly improved over that of experienced cardiologists. Programs studied using a validated data bank provided by an international group of cardiologists show a variability not only in parameter measurement but also in diagnostic statement and in the way in which such statements are expressed. Recommendations for measurement standards have been made to fulfil the need for exchange of diagnostic criteria. No recommendations concerning the selection of parameters have been proposed, and so new parameters or combinations of parameters can be introduced with the ultimate aim of increased diagnostic performance.
目前常规记录的大量心电图（ECG）促使了计算机分析技术的发展，而计算机分析技术反过来又通过重要的技术进步使心电图学受益。所有自动心电图分析系统都采用类似的方法：一个测量程序、一个解释这些测量临床意义的程序以及一个节律分析算法。参数的测量、选择和分类因所使用的程序而异。数据压缩应用于信号以减少处理时间并便于长期存储。然而，与经验丰富的心脏病专家相比，诊断准确性并没有显著提高。使用国际心脏病专家小组提供的经过验证的数据库对程序进行的研究表明，不仅在参数测量方面存在差异，在诊断陈述以及这些陈述的表达方式上也存在差异。为满足诊断标准交换的需求，已制定了测量标准的建议。但尚未提出有关参数选择的建议，因此可以引入新的参数或参数组合，最终目标是提高诊断性能。
