Various types of transformations require
different baselines reflecting specificities of these transitions. The present
work deals with the case when a degree of transformation is directly proportional
to heat consumed or released. For such case, a baseline is named an integral
baseline and is traditionally constructed by unnecessary simplifications.
A new method is proposed as an alternative fast and robust computational method
for baseline construction utilizing interpolating cubic splines. The method
is self-consistent in the sense that it is free of needless assumptions and
that it provides linearity between the degree of transformation and heat measured.