Table 1.
Summary of map features calculated by NeuroMeasure.
Measurement | Summary | Units |
---|---|---|
Center of Gravity (COG) | Weighted average of measurement positions where the weights are the values of the measurements. | Distance (mm) |
Peak Amplitude | Position of the absolute maximum measurement within the mapping field. | Distance (mm) |
Surface Area (SA) | The summation of areal patches along the map whose MEP value are above a set threshold. | Distance2 (mm2) |
Volume Integral (VI) | The summation of volumetric patches. A volumetric patch is the product between an areal patch and its corresponding MEP value. | Intensity*distance2 (μv*mm2) |
Root Mean Square Error (RMSE) | The average difference between all sets of likewise values between two motor maps. | Intensity (μv) |
Area Under the Curve (AUC) | The performance of a predictive model fitted onto dataset 1 in predicting dataset 2. | Unitless |