Exercise equipment includes an arm unit having left and right hand grips. The lateral centerlines of the hand grips are closely spaced together. In use, with the hands on the hand grips, the user revolves the hand grips in a circular motion simulating a speed bag punching type of movement.

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 human-powered generator includes a frame and a pedal crankset and crankset sprocket rotatably mounted on the frame, a flywheel rotatably mounted on the frame including a flywheel-crankset sprocket a flywheel-countershaft sprocket, a countershaft rotatably mounted on the frame including a countershaft-flywheel sprocket and a countershaft-alternator sprocket, and an alternator including an alternator drive shaft and an alternator sprocket. The human-powered generator also includes a crankset-flywheel drive chain, a flywheel-countershaft drive chain, and a countershaft-alternator drive chain. A pedaling cadence at the pedal crankset of between approximately 60 RPM and approximately 100 RPM achieves an alternator drive shaft RPM of between approximately 2,000 RPM and approximately 5,000 RPM.

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 inclined exercise apparatus may include a support frame, pedals and arm supports for a user. The angle of incline of the inclined exercise apparatus may be adjusted to be increased for a decreased level of difficulty and decreased of an increased level of difficulty. The inclined exercise apparatus may include a chest support for supporting a user's chest. The inclined exercise apparatus may include arm supports and hand grips so that a user can adjust their body position while using the inclined exercise apparatus.

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 smart exercise device includes an interface comprising a smart mirror configured to present information pertaining to a treatment plan being performed by a user while the user interacts with the smart exercise device. A processing device is configured to cause the smart exercise device to perform one or more functions related to the treatment plan, such as cause one or more preventative actions to be performed based on whether the processing device receives one or more messages, cause one or more content items to be presented to the user on the interface, assign the treatment plan to the smart exercise device based on a determined eligibility of the user, and implement the treatment plan to reduce a probability of a cardiac intervention for the user.

The invention pertains to a stationary exercise bike along with a display that provides instruction to lead a rider through an exercise program. The invention allows a rider to obtain benefits of a group, instructor-led class though the rider's schedule does not permit the rider to participate in the class. The invention also describes a method of exercising with the foregoing bike and display.

A system, method and apparatus for exercise and rehabilitation includes a frame coupled to a base and having a top end. An arm having a proximal end can be coupled to the top end of the frame. A distal end of the arm is opposite the proximal end. The arm is movable in a first degree of freedom between a retracted position and an extended position relative to the frame. Handles are coupled to the arm adjacent the distal end and movable in a second degree of freedom relative to the arm. The handles are manipulated by a user for exercise and rehabilitation.

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.