A computer-implemented system includes a processing device configured to receive a plurality of user and blood vessel characteristics associated with a user, generate a selected set of user and blood vessel characteristics, determine, based on the selected set of the user and blood vessel characteristics, a probability that angiogenesis will occur, and generate, based on the probability and the selected set of the user and blood vessel characteristics, a treatment plan that includes one or more exercises directed to modifying the probability that angiogenesis will occur, and a treatment apparatus configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.

A computer-implemented system includes one or more processing devices configured to receive user information associated with a user, generate a selected set of the user information, determine, based on the selected set of the user information, at least one of a first probability of surviving one or more procedures and a second probability indicating an improvement, resulting from the one or more procedures, in quality-of-life metrics for the user, generate, based on the at least one of the first probability and the second probability and on the selected set of the user information, one or more recommendations of whether the user should undergo the one or more procedures, and generate, based on the one or more recommendations, a treatment plan that includes one or more exercises directed to modifying the at least one of the first probability and the second probability.

A ground-effect footplate against which a user applies plantar force and moves their foot in 3D across all seven lower-extremity biomechanical axes to accomplish specific as well as global ambulatory objectives related to lower extremity performance improvement, injury prevention and rehabilitation. A device comprising at least one articulating leg connected to a ground-effect footplate and a surface for a user to position against. The device can be used in conjunction with software to create virtual ambulatory environments that mimic GRFVs and cause moments of force that initiate muscular activations that substantially mimic human ambulation, and can couple those movements with non-functional movements in order to improve ROM, speed, strength, and proprioception.

An exercise bike is provided, including a frame, a treading device mounted on the frame, a bike headstock device mounted on the front of the frame and a seat device mounted on the rear of the frame. The treading device includes a belt wheel, two treading rods connected with the belt wheel drive, and two pedals respectively connected to the ends of the two treading rods. The present application also includes a permanent magnet synchronous motor with wheel hub shape, a control circuit and an energy dissipation device. The permanent magnet synchronous motor is electrically connected with the energy dissipation device, the control circuit is electrically connected with the permanent magnet synchronous motor and controls the current passing through the permanent magnet synchronous motor, so as to solve the problem of the poor resistance adjustment effect of the resistance device of the existing exercise bike.

A wave generating system is provided. The system includes an enclosure having a base and plurality of sidewalls extending orthogonally upward from edges thereon, wherein a plurality of pistons are disposed over the surface area of the base therein. A covering layer of a waterproof and flexible construction is pivotally affixed to a top end of the plurality of pistons and attached to the plurality of sidewalls. The plurality of pistons is operably connected to a circuit board disposed within a control panel via a grid connection and programmed to create patterns and contours in the covering layer via the plurality of pistons. The patterns of ocean floor conditions ideal for surfing, as well as other geometric patterns, may be programmed and operated using a display screen or remote control.

A racquet sports scoring system is provided. The scoring system uses a computerized display and input system to receive scoring changes. In many embodiments, the computerized interface is in communication with a database which records the score in real time, and also records scores of other concurrently-played matches. These match scores, and in some cases video of live matches played at other locations, can be viewed on the same computerized interface on which scores are recorded or on remote devices.

A method is disclosed for using an artificial intelligence engine to interact with a user of an exercise device during an exercise session. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive data as input, and based on the data, providing an output. While a user performs an exercise using the exercise device, the method includes receiving the data from an input peripheral of a computing device associated with the user. Based on the data being received from the input peripheral, the method includes determining, via the machine learning model, the output to control an aspect of the exercise device.

A method is disclosed for using an artificial intelligence engine to perform a control action. The control action is based on one or more measurements from a wearable device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive the one or more measurements as input, and outputting, based on the one or more measurements, a control instruction that causes the control action to be performed. The method includes receiving the one or more measurements from the wearable device being worn by a user, determining whether the one or more measurements indicate, during an interval training session, that one or more characteristics of the user are within a desired target zone, and responsive to determining that the one or more measurements indicate the one or more characteristics of the user are not within the desired target zone during the interval training session, performing the control action.

A method is disclosed for using an artificial intelligence engine to modify resistance of one or more pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive one or more measurements as input, and outputting, based on the one or more measurements, a control instruction that causes the exercise device to modify the resistance of the one or more pedals. The method includes receiving the one or more measurements from a sensor associated with the one or more pedals of the exercise device, determining whether the one or more measurements satisfy a trigger condition, and responsive to determining that the one or more measurements satisfy the trigger condition, transmitting the control instruction to the exercise device.

A weight sled that allows both linear and non-linear movements such that resistance training can be performed in the frontal, sagittal, and combined frontal/sagittal planes, and which allows easy movement for transportation, storage, and retrieval from storage. The weight sled uses one or more swiveling, pivoting, or omni-directional wheels that allow all or a portion of the sled to be moved laterally. The addition of wheel configurations allowing of lateral movement of all of, or a portion of, the weight sled greatly expands the utility of weight sleds because movement in any direction can be trained, whether in the sagittal body plane (forward/backward movements), the frontal body plane (lateral movements), or a combination of the two. Additionally, the plurality of wheel configurations allows for a variety of storage arrangements.