Movement assessment system and method of use

A non-transitory computer readable medium storing instructions executable by an associated processor to perform a method for implementing a movement assessment system, the method comprising:

• receiving movement data from a movement assessment device comprising a plurality of sensors, the movement data based upon movement of an a human on the movement assessment device as detected by the plurality of sensors;
• plotting recorded movement based upon the movement data taken over a first duration to generate displacement data;
• normalizing the displacement data as first, second, third, fourth, and fifth quintets comprising first, second, third, fourth, and fifth areas comprising one or more sensors of the plurality of sensors, the normalizing the displacement data generating normalized quintet data;
• generating two clusters per quintet as clustered data from the normalized quintet data;
• generating extracted data, the generating the extracted data comprising:
• identifying a first percentage of time the first of the two clusters per quintet is active relative to a second percentage of time the second of the two clusters per quintet is active;
• calculating a center of mass of each cluster of each quintet based upon the first and second percentages;
• calculating a distance between the center of mass of a core quintet and the centers of mass of peripheral quintets;
• and
• classifying the extracted data to identify a disease probability;
• and
• presenting to a user suggested further test or evaluations that the human should undergo based upon the disease probability.

A movement assessment system comprising:

• a movement assessment device comprising a plurality of pressure sensors, the movement assessment device comprising surface labeling indicating where a head and feet of an infant or child should be placed;
• a movement assessment presentation device having a screen to display images;
• and
• a processing device in communication with the movement assessment device and the movement assessment presentation device, the processing device receiving displacement data from the movement assessment device, wherein responsive to receiving the displacement data, the processing device:
• identifies quintets comprising one or more sensors of the plurality of sensor of the movement assessment device;
• extracts features from each of the quintets to generate a set of five features;
• generates a set of five spectrums from the set of five features, each of the set of five spectrums reflecting sensed displacement data in one of the quintets, respectively;
• identifies from the set of five spectrums percentages of normal movement and abnormal movement;
• identifies potential disease based upon the percentage of the abnormal movement over a likelihood threshold being identified;
• and
• presents the potential disease to user on the movement assessment presentation device.