One of the very important movement estates of nonlinear system is chaos. It studies on the special rules of inherent randomicity that exist in the nonlinear course of nature.Life is the most complex nonlinear system and heart is the core of this lifecycle system. In this paper, multiscale analysis method was introduced to find the most effective parameters for expressing the complex nonlinear dynamic characteristics of heart electrical activities. After determining the appropriate scale factor, we investigated the multifractal singularity spectrum area of synchronous 12-lead ECG signals taken from different human subjects in abundant samples. The emphases were the crowds of myocardial ischemia sufferer, the myocardial infarction sufferer and the healthy young person. Then, we compared their statistical mean values and dispersing degrees respectively, trying to find some effective approaches to distinguish healthy people from the diseased through those individual discrepancies.
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