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.

The neurological rehabilitation system described includes at least visual display components, a robotic platform, a sensor array, and a neurological rehabilitation controller. The neurological rehabilitation controller controls the robotic platform based on outputs from the sensor array and generates at least a real-time visual simulation displayed using the visual display components. The generated real time visual simulation simulates a task as part of an enhanced task-oriented therapy for a patient undergoing neurological rehabilitation. The robotic platform is a physical structure that interfaces with the patient and facilitates the patient's movement of various body parts (e.g., arms and/or legs) in synchrony with the real-time visual simulation to perform a virtual task over time. The robotic platform also receives control instructions from the neurological rehabilitation controller, which articulate the platform and apply resistance force to the patient interface(s) to create a more realistic task experience.

Hand pedals for turning the crank set of an arm driven tricycle have modular interchangeable components including a bearing which mounts on the spindle of the crank. A bridge connects the bearing to a handle. The bridge has two legs connected by a transverse spar. Different bridges and handles may be used having different sizes, shapes, lengths and angular orientations which allow the hand pedals to be customized to accommodate a particular user. Hand pedals may also be used on hand cranked bicycles, stationary hand cranked bicycles and industrial equipment.

The present invention relates to a rehabilitation system for rehabilitating a person with a neurological condition, such as a spinal cord injury (SCI). The system includes exercise equipment for enabling the person to exercise. One or more sensors are provided for sensing information from the person during exercise. The system also includes a model of the exercising person configured to receive the sensed information from the sensors and generate electrical stimulation for the person. Advantageously, the personalized computer model may be used to generate suitable electrical stimulation for the person, and avoid excessive stresses on the person which can lead to the fracturing of bones.

An exercising equipment having base formed of a U-shape pipe; first and second arms, each rotatably connected to the base and having a securing knob engageable to affix the arm at an acute angle to the base; first paddle rotatably connected at a first connecting point to the first arm; second paddle rotatably connected at a second connecting point to the second arm; foldable connecting bar assembly connected at one end to the first paddle and at the second end to the second paddle, to thereby form an S-shape together with the first and second paddles when assuming an extended position and form a W-shape together with the first and second paddles when assuming a folded position; and, at least one variable friction pivot assembly attached at the first or second connecting points thereby applying variable friction to rotation of at least one of the first or second paddles.

A computer-implemented method including receiving, at a computing device, a first treatment plan designed to treat a cardiovascular health issue of a user. The first treatment plan comprises at least two exercise sessions that, based on the cardiovascular 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. Wherein a machine learning model is used to generate a second treatment plan. The second treatment plan 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 method includes receiving data pertaining to a user that uses a treatment apparatus to perform a treatment plan. The data includes characteristics of the user, the treatment plan, and a result of the treatment plan. The method includes assigning the user to a cohort representing people having similarities to the characteristics of the user. The method includes receiving second data pertaining to a second user, the second data comprises characteristics of the second user. The method includes determining whether at least some of the characteristics of the second user match with at least some of the characteristics of the user, assigning the second user to the first cohort, and selecting, via a trained machine learning model, the treatment plan for the second user, and controlling, based on the treatment plan, the treatment apparatus while the second user uses the treatment apparatus.

A stride emulator device for efficiently utilizing human leg power for transference to a rotary drive system including a pair of levers, at least two gears, at least two crankshafts having crank arms, and where each lever includes a cam and cam track.

A magnetic resistance structure and an exercise machine having the same are disclosed. The magnetic resistance structure includes a seat body, a turning disc unit, a movable seat, a control unit, and a magnetic field component. The turning disc unit is pivotally connected to the seat body in an axial direction. The turning disc unit has a non-magnetic induction part extending in a radial direction. The control unit is connected with the movable seat for controlling the movable seat to approach or move away from the non-magnetic induction part. The magnetic field component includes a first component and a second component. The first component is located on the seat body. The second component is located on the movable seat. The first component and the second component selectively generate a magnetic field by changing their relative positions.

A variable-resistance exercise machine with network communication for smart device control and interactive software applications, comprising a network interface that receives input from a user device and provides output to a user device; a plurality of moving surfaces that each provide an independent degree of resistance to movement based on received input, a sensor that detects movement and provides output to a user device based on the movement.