Control system for a rehabilitation and exercise electromechanical device

A system comprising:

• one or more pedals coupled to one or more radially-adjustable couplings;
• an electric motor coupled to the one or more pedals via the one or more radially-adjustable couplings;
• a control system comprising one or more processing devices operatively coupled to the electric motor, wherein the one or more processing devices are configured to:
• responsive to a first trigger condition occurring, control the electric motor to operate in a passive mode by independently driving the one or more radially-adjustable couplings rotationally coupled to the one or more pedals;
• responsive to a second trigger condition occurring, control the electric motor to operate in an active-assisted mode by:
• measuring revolutions per minute of the one or more radially-adjustable couplings, and
• causing the electric motor to drive the one or more radially-adjustable couplings rotationally coupled to the one or more pedals when the measured revolutions per minute satisfy a threshold condition;
• and
• responsive to a third trigger condition occurring, control the electric motor to operate in a resistive mode by providing resistance to rotation of the one or more radially-adjustable couplings coupled to the one or more pedals,
• wherein the first trigger condition, the second trigger condition, and the third trigger condition are set based on a treatment plan, wherein the treatment plan was generated by one or more machine learning models trained to output the treatment plan based on input related to at least one of a procedure the user underwent or a characteristic of the user.

A method for controlling, via a processing device, an electromechanical device, comprising:

• responsive to a first trigger condition occurring, controlling an electric motor of the electromechanical device to operate in a passive mode by independently driving one or more radially-adjustable couplings rotationally coupled to one or more pedals;
• of the electromechanical device
• responsive to a second trigger condition occurring, controlling the electric motor to operate in an active-assisted mode by:
• measuring revolutions per minute of the one or more radially-adjustable couplings, and
• causing the electric motor to drive the one or more radially-adjustable couplings rotationally coupled to the one or more pedals when the measured revolutions per minute satisfy a threshold condition;
• and
• responsive to a third trigger condition occurring, controlling the electric motor to operate in a resistive mode by providing resistance to rotation of the one or more radially-adjustable couplings coupled to the one or more pedals,
• wherein the first trigger condition, the second trigger condition, and the third trigger condition are set based on a treatment plan, wherein the treatment plan was generated by one or more machine learning models trained to output the treatment plan based on input related to at least one of a procedure the user underwent or a characteristic of the user.