mean voltage, waveform skewness and other common statistical measures. A full list can be found in appendix \[sec:ap2\]. With the 9 probe array, the wavefront from the AF circuit will reach each individual electrode at a different time. Therefore, gradients of the features can be measured across the whole electrode array in different directions giving more effective information on the position of the AF circuit, see Fig. \[fig:elecgrid\].

Visualising the features from electrogram data can give significant insight into the electrical dynamics of the CMP model without extensive statistical analysis. This can be done using a visualisation we have coined the vector feature map. Their creation, analysis and general features are described in detail in appendix \[sec:ap2\]. A vector feature map shows the average value of a given vector relative to the centre of the re-entrant circuit in many different instances of the CMP model. An example is shown for the magnitude of the dominant Fourier transform frequency of the electrogram signal in Fig. \[fig:FCplot\_STATIONARY\].

![The vector feature map for the dominant frequency of the electrograms Fourier transform on an arbitrary scale, shown by the greyscale. The image is generated from tissues with a single ectopic cell beating every 60 