In one aspect, the invention features a barbell including a first end portion, a second end portion, and a middle portion, where the middle portion is couplable to the first end portion and the second end portion. The middle portion includes a male coupling extending from a first end of the middle portion, the male coupling providing a first coupling mechanism that engages with a corresponding female coupling of the first end portion, and a female coupling providing a second coupling mechanism that engages with a corresponding male coupling of the second end portion.

A digitally enhanced exercise system includes a proximal section comprising a first structural member and a platform; a distal section comprising a second structural member and an interface, wherein the interface is attached to the second structural member by a mount; a spine that is spans between the first structural member and the second structural member; a carriage configured to move in a single axis along the spine; a tension system, wherein the tension system is capable of resisting the carriage from moving; a sensor array arranged so as to detect changes in weight on the carriage; and a processor. Other aspects are also described and claimed.

Disclosed herein are devices, systems and methods for redistributing the normal weight distribution of a user in a standing position. One example is a postural platform for either the left or right foot having a bottom surface defining a reference plane, a top surface configured as a foot contact surface and a perimeter side wall between the bottom and top surfaces. The top surface of the postural platform is rotated about a first rotational axis parallel to the reference plane and rotated about a second rotational axis orthogonal to the reference plane. In another example, a system includes first and second postural platforms that are independent of one another. In other example, the device is a sandal, shoe, sneaker or any foot covering with a tops surface being at a complex angle to a bottom surface. The top surface is tiled downwardly either to the left or right and turned either counter-clockwise or clockwise based on whether it is a respective left or right postural platform.

There is described an integrated unweighted gait training system having an unweighting system comprising a computer controller; a gait measurement system in communication with the controller; and a display in communication with the computer controller adapted and configured to provide real-time feedback to a user of the integrated unweighting gait training system. The unweighting system may be a differential air pressure (DAP) unweighting system or a non-DAP unweighting system.

A seated treadmill has a structure with a front portion and a rear portion. A front roller is rotatably mounted on the front portion of the structure, a rear roller is rotatably mounted on the rear portion of the structure, and a belt circumscribes the front and rear rollers. The front and rear rollers are much closer together than prior art treadmills, typically about 10-30 inches. The treadmill may further include a remote control for controlling operation of the treadmill, and a shutoff switch in the event that too much force is placed upon the treadmill, such as if the user attempts to stand on the treadmill.

A treatment apparatus includes a machine configured to be manipulated by a patient to perform a regimen for rehabilitation and one or more internal sensors configured to generate data indicating performance of the regimen by the patient. The machine is configured to receive at least one of a first input from a clinician interface and a second input from a patient interface. The first input corresponds to a prompt, presented on the clinician interface, to modify the regimen based on the data indicating performance of the regimen and the second input corresponds to at least one response to a plurality of questions, presented on the patient interface, pertaining to a current or past physical condition of the patient. The machine is further configured, responsive to the at least one of the first input and the second input, to selectively stop or prevent operation of the machine by the patient.

The present disclosure relates to a system for monitoring the adjustment of the weight of a dumbbell, that can be used by a user for carrying out a gymnastic exercise, comprising: a dumbbell, provided with a hollow handle, having an axial development along an axis, capable of rotating clockwise and counterclockwise around said axis, and provided with a first end, a second end and comprising in its cavity a first locking member and a second locking member, a first plurality of weights, wherein each weight can be locked individually at said first end, by means of said first locking member or said second locking member, when said handle rotates in a way, and can be unlocked from said first end, when said handle rotates in the opposite way, a second plurality of weights, wherein each weight can be locked individually at said second end, by means of said first locking member or said second locking member, when said handle rotates in a way, and can be unlocked from said second end, when said handle rotates in the opposite way, wherein said system comprises at least one detecting device comprising in turn at least one magnet placed on said first locking member and/or said second locking member, at least one sensor, capable of detecting the magnetic field generated by said at least one magnet, in that said at least one detecting device is capable to send data corresponding to said detected magnetic field, and in that it comprises a logic control unit capable of receiving said data sent by said at least one detecting device and by associating to said data a weight of said first and second plurality of weights.

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 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.