  Electropermeabilization is a clinical technique in cancer treatment to
locally stimulate the cell metabolism. It is based on electrical fields that
change the properties of the cell membrane. With that, cancer treatment can
reach the cell more easily. Electropermeabilization occurs only with accurate
dosage of the electrical field. For applications, a monitoring for the amount
of electropermeabilization is needed. It is a first step to image the
macroscopic electrical field during the process. Nevertheless, this is not
complete, because electropermeabilization depends on critical individual
properties of the cells such as their curvature. From the macroscopic field,
one cannot directly infer that microscopic state. In this article, we study
effective parameters in a homogenization model as the next step to monitor the
microscopic properties in clinical practice. We start from a physiological cell
model for electropermeabilization and analyze its well-posedness. For a
dynamical homogenization scheme, we prove convergence and then analyze the
effective parameters, which can be found by macroscopic imaging methods. We
demonstrate numerically the sensitivity of these effective parameters to
critical microscopic parameters governing electropermeabilization. This opens
the door to solve the inverse problem of rreconstructing these parameters.
