An electromechanical device for rehabilitation includes a motor and a control system including one or more processing devices operatively coupled to the motor. The one or more processing devices are configured to, responsive to a first trigger condition occurring, control the motor to operate in a passive mode, responsive to a second trigger condition occurring, control the motor to operate in an active-assisted mode, and responsive to a third trigger condition occurring, control the motor, by providing resistance, to operate in a resistive mode.

A pedal assembly for an exercise and rehabilitation device can include a disk having an axis of rotation. A central aperture can be formed in the disk along the axis. Spokes can extend radially from adjacent the central aperture toward a perimeter of the disk. The disk can be formed from a first material. In addition, a crank can be coupled to one of the spokes of the disk. The crank can have a hub concentric with the central aperture. Pedal apertures can extend along a radial length of the crank. The crank can be formed from a metallic material that differs from the first material. A pedal having a spindle can be interchangeably and releasably mounted to the pedal apertures in the crank.

Disclosed are systems and methods for a computerized framework that leverages artificial intelligence (AI) / machine learning (ML) mechanisms to assign selected individuals to military operations. The disclosed framework comparatively analyzes an ops sheet of a military operation and profile data related to a user(s), and automatically determines user(s) who are optimal for the operation. The determined user or users possess the physical and/or intellectual capabilities to accurately and efficiently, with respect to real-world and electronic resources, perform and complete the operation. The disclosed framework provides a computerized platform that selects users for highly specific tasks based on the users’ analyzed skill sets, and based on computerized determinations of how such users are predicted to perform using those skill sets, securely and/or confidentially provides the users access to information related to the operation.

A computer-implemented method is disclosed. The method includes determining whether one or more messages have been received from at least one of an electromechanical machine, a sensor, and an interface. Then the one or more messages may pertain to at least one of a user and a usage of the electromechanical machine by the user. The electromechanical machine may be configured to be manipulated by the user while the user is performing a treatment plan. The method also includes, responsive to determining that the one or more messages have not been received, determining, using one or more machine learning models, one or more preventative actions to perform. The method also includes causing the one or more preventative actions to be performed.

An exercise device with advanced bench-cycling exercises for glute, abs and leg toning, for use in both the stomach down and up positions, has: a bottom support and at least one main support stem extending upwardly; a main joint body support frame rotatably connected to the support stem to allow lower support and upper support bars to be tiltable. The upper support bar is sufficient to support at least a portion of a human torso, and is rotatably connected to the main joint; one or two lower support bars adjustable in length, and having a top portion connected to the main joint, upper support bar or the at least one support stem; and a bottom portion extended away from the main joint; two cranks located on the bottom portion of the lower support bar; and a pair of pedals separately connected to their cranks, the cranks being adjustable in length.

A stationary indoor “smart” training bicycle includes a unique combination of adjustable components to provide configurable dimensions to adjust the frame size of the indoor bicycle to properly fit a rider. A system is also provided to process a digital image of an outdoor bicycle and determine and translate dimensions and adjustments to the indoor bicycle to match one or more dimensions (lengths, angles, separations, etc.) of the outdoor bicycle.

An indoor, stationary, bicycle training device that provides advantages over conventional designs of exercise bicycles is provided. The stationary bicycle may include a tilting/pivoting mechanism to orient the indoor bicycle to simulate descending or climbing. The indoor bicycle may include flexible and resilient frame elements to support the indoor training device to move side-to-side under some riding situations thereby simulating the side-to-side swaying motion of an outdoor bicycle under the same riding situations. The indoor bicycle may include several combinations of frame adjustments to provide configurable dimensions of the indoor bicycle to adjust the frame to properly fit the rider, which may be adjusted based on corresponding dimensions of a user’s outdoor bicycle. Still other aspects of the stationary bicycle device may aid in creating an “outdoor” feeling while using the device.

A computer-implemented method including receiving, at a computing device, a first treatment plan designed to treat a sexual performance health issue of a user. The first treatment plan comprises at least two exercise sessions that, based on the sexual performance health issue, enable the user to perform an exercise at different exertion levels. While the user uses a treatment apparatus to perform the first treatment plan for the user, the computing device receives cardiovascular data from one or more sensors configured to measure the cardiovascular data associated with the user, and transmits the cardiovascular data. A machine learning model is used to generate a second treatment plan that modifies at least one exertion level, and the modification is based on a standardized measure comprising perceived exertion, the cardiovascular data, and the cardiovascular health issue of the user. The method includes receiving the second treatment plan.

A computer-implemented system includes one or more processing devices configured to receive attribute data associated with a user, generate, based on a pulmonary condition of the user, a selected set of the attribute data, determine, based on the selected set of the attribute data, a first probability of improving a pulmonary condition of the user subsequent to at least one of a pulmonary procedure being performed on the user, a pulmonary treatment being performed on the user, and a pulmonary diagnosis, and generate, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability. A treatment apparatus is configured to enable implementation of the treatment plan.

A system that comprises a memory device storing instructions, and a processing device communicatively coupled to the memory device. The processing device executes the instructions to: receive user data obtained from records associated with a user; generate a modified treatment plan based on the user data; and send, to a treatment apparatus accessible to the user, the modified treatment plan, wherein the modified treatment plan causes the treatment apparatus to update at least one operational aspect of the treatment apparatus, and update at least one operational aspect of at least one other device communicatively coupled to the treatment apparatus.