Degani R
LADSEB-CNR, Padova, Italy.
Methods Inf Med. 1992 Nov;31(4):225-33.
This paper investigates the computerized analysis of electrocardiographic signals. The biological variability, the lack of standards in the definition of measurements and of diagnostic criteria make the classification problem a complex task. Two basic methods of the diagnostic process are described: the statistical model and the deterministic approach. In particular, a model for ECG classification will be illustrated where the imprecise knowledge of the state of cardiac system and the vague definition of the pathological classes are taken care of by means of the fuzzy set formalism.
本文研究心电图信号的计算机化分析。生物变异性、测量定义和诊断标准缺乏规范，使得分类问题成为一项复杂的任务。文中描述了诊断过程的两种基本方法：统计模型和确定性方法。特别地，将阐述一种心电图分类模型，其中借助模糊集形式来处理心脏系统状态的不精确知识和病理类别定义的模糊性。
