Pacemaker translocations and power laws in 2D stem cell-derived cardiomyocyte cultures

This repository contains the minimal information necessary for the analysis of pacemaker translocation quiescent periods. There is enough data provided to conduct a thorough analysis for power law behavior in pacemaker translocation activity using the powerlaw Python library, available via pip and at PyPi (https://pypi.org/project/powerlaw/). Additionally, this repository contains batch file information for the original files used in analysis and provides access to a Box link containing the original *.mcd format files of each microelectrode array (MEA) recording used to produce the data. The translocation algorithm is described in the associated manuscript.
Article abstract: Power laws are of interest to several scientific disciplines because they can provide important information about the underlying dynamics (e.g. scale invariance and self-similarity) of a given system. Because power laws are of increasing interest to the cardiac sciences as potential indicators of cardiac dysfunction...