  ECG signals appear to be quite complex. In this paper, we present results,
which show that a normal ECG signal, which is a function of time can be
transformed into a relatively simpler signal by stretching the time in a
predetermined way. Before such a transformation, if you were to analyze various
packets of the data for the Trans-Spectral Coherence (TSC) you could confirm
that the signal indeed is very complicated. This is because the TSC gives us an
idea of how various harmonics in a spectrum are related to one another. The
coherence dramatically improved once we found an intermediate variable..
However, there was one hurdle. To find this variable, we needed to postulate
that the complexified data lies on a 4-sheeted Riemann-Surface. With this
insight, we could identify a proper time transformation which led to extremely
high TSC.
  The transformed signal is quite simple. We can now rearrange the ECG data in
terms of a set of functions in an affine space, which we can explicitly
calculate from the data. This reveals that the dynamics of the heart, if freed
from the external influence is quite simple.
