Systems and methods for using machine learning to control an electromechanical device used for prehabilitation, rehabilitation, and/or exercise

A method for using machine learning to control an electromechanical device, comprising:

• receiving user data relating to a user capable of operating the electromechanical device;
• receiving treatment data relating to a set of treatment plans and outcomes, wherein the set of treatment plans is capable of being offered to the user;
• generating a plan by using a machine learning model to process the user data and the treatment data, wherein the plan includes at least one exercise session comprising one or more exercises to be performed on the electromechanical device;
• enabling the plan to be distally accessible by one or more user portals;
• selecting, for the electromechanical device, an electromechanical device configuration that enables the one or more exercises of the plan to be performed by the user, wherein the electromechanical device configuration enables the one or more exercises to be performed to improve performance of an area of the user's body, and wherein the electromechanical device configuration modifies one or more positions of one or more radially-adjustable couplings to modify one or more diameters of one or more ranges of motion provided by one or more pedals;
• and
• enabling the electromechanical device to implement the electromechanical device configuration by providing the electromechanical device configuration to the electromechanical device, wherein a control system of the electromechanical device modifies the one or more positions.

A system for operating an electromechanical device, comprising:

• a memory device storing instructions;
• and
• a processing device communicatively coupled to the memory device, wherein the processing device, when executing the instructions, is configured to:
• receive user data relating to a user capable of operating the electromechanical device;
• receive treatment data relating to a set of treatment plans and outcomes, wherein the set of treatment plans is capable of being offered to the user;
• generate a plan by using a machine learning model to process the user data and the treatment data, wherein the plan includes at least one exercise session comprising one or more exercises to be performed on the electromechanical device;
• enable the plan to be distally accessible by one or more user portals;
• select, for the electromechanical device, an electromechanical device configuration that enables the one or more exercises of the plan to be performed by the user, wherein the electromechanical device configuration enables the one or more exercises to be performed to improve performance of an area of the user's body, and wherein the electromechanical device configuration modifies one or more positions of one or more radially-adjustable couplings to modify one or more diameters of one or more ranges of motion provided by one or more pedals;
• and
• enable the electromechanical device to implement the electromechanical device configuration by providing the electromechanical device configuration to the electromechanical device, wherein a control system of the electromechanical device modifies the one or more positions.