Systems and methods for motor assessment

A system comprising:

• a data storage device storing processor-readable instructions;
• and
• a processor operatively connected to the data storage device and configured to execute the instructions to perform operations that include:
• receiving first sensed signals in response to a first motor assessment performed using a first test device;
• receiving second sensed signals in response to a second motor assessment different than the first motor assessment and performed using the first test device;
• extracting features based on a combination of the first sensed signals and the second sensed signals;
• providing the extracted features to a machine learning model trained to output a motor assessment based prediction based on the extracted features;
• and
• receiving the motor assessment based prediction from the machine learning model.

A system comprising:

• a test device comprising a processor;
• an analysis model;
• and
• a machine learning framework trained to output a motor assessment based prediction based on extracted features, wherein the processor is configured to:
• generate first sensed signals in response to a first motor assessment performed using the test device, and
• generate second sensed signals in response to a second motor assessment performed using the test device,
• wherein the analysis model is configured to:
• extract the extracted features based on a combination of the first sensed signals and the second sensed signals, and
• provide the extracted features to the machine learning model, and wherein the machine learning framework is configured to:
• output the motor assessment based prediction.