Fig. 2

Visualization of the assessgame’s data analysis steps. The assessgame splits selective voluntary motor control (SVMC) into target joint accuracy and involuntary movements. We visualized the algorithm analyzing the raw accelerometer data resulting in standardized error scores for both outcome metrics. For the target joint, the numbers between 0 and 100 reflect the percentage joint position relative to the calibrated active range of motion. The involuntary movements were analyzed by first calculating the actual joint angle and then the derivative to quantify changes in position. This was done so that patients who were unable to maintain the starting position were not penalized. Finally, the standardized error expresses how many adult standard deviations the player was away from either the target path or the adult mean (involuntary movements) on average. The data were filtered using a 6th order Butterworth zero-phase low-pass filter with a cutoff frequency of 1.5 Hz (normalized cutoff frequency of 0.045). Reprinted from 'First validation of a novel assessgame quantifying selective voluntary motor control in children with upper motor neuron lesions' [15]