An ambulation simulating apparatus, including: a user feet interface comprising foot rests; a dynamic inertia mechanism configured to provide an inertial load when a downwardly force is applied due to the foot and a kinematic connection configured to enable transmission of motion from the feet interface to the dynamic inertia and backwards as the dynamic inertia mechanism resists said downwardly applied force by the foot.

An apparatus with one or more force plates senses of center-of-pressure and force-angle in the sagittal plane for a standing individual to provide an indication of balance capability based on the deduced functional relationship between center-of-pressure and force-angle within a limited band of frequencies. In one embodiment this relationship may be expressed as an intersection point of the force vectors with respect to the individual's center-of-mass.

A wobble board includes a platform, a base having a generally flat bottom surface, and at least one compressible member positioned intermediate the platform and the base such that the platform is pivotable with respect to the base.

The balance training apparatus includes: a moving cart capable of moving on a moving surface by driving a driving unit; a movement controller configured to drive the driving unit and to move the moving cart in accordance with a predetermined swing pattern; a posture detection sensor that is provided in the moving cart and is configured to detect that disturbance of the state of a trainee who is standing on the moving cart has become outside of a predetermined range; and a difficulty level setting unit configured to instruct the movement controller to change the swing pattern and change the difficulty level of the training that moves the moving cart based on results of detecting the state of the trainee regarding which a notification is sent from the posture detection sensor.

A balance training apparatus that allows a training person having a disease in his/her balance function to perform appropriate rehabilitation training safely in order to recover the balance function is provided. The balance training apparatus includes a moving carriage configured to be able to move on a moving surface by driving a driving unit, a detection unit configured to detect a load received from training person's feet standing on the moving carriage, a calculation unit configured to calculate a load's center of gravity of the training person's feet on a boarding surface from the load detected by the detection unit, and a control unit configured to convert a displacement amount of the load's center of gravity into a control amount using a setting selected from a plurality of settings, and drive the driving unit based on the control amount to control movement of the moving carriage.

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.

A method is disclosed for using an artificial intelligence engine to modify resistance of pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive measurements as input, and outputting, based on the measurements, a control instruction that causes the exercise device to modify, independently from each other, the resistance of the pedals. While a user performs an exercise using the exercise device, the method includes receiving the measurements from sensors associated with the pedals. The method includes determining, based on the measurements, a quantifiable or qualitative modification to the resistance provided by a pedal of the pedals. The resistance provided by another pedal of the pedals is not modified. The method includes transmitting the control instruction to the exercise device to cause the resistance provided by the pedal to be modified.

An interactive AI coaching-based musculoskeletal exercise and rehabilitation training system, includes: a user state information measurement unit connected to a cloud server through a wired or wireless network and measuring state information, the state information being information about a user's exercise posture or physical condition; a display panel displaying necessary information to a user during exercise based on the state information measured by the user state information measurement unit; an exercise unit allowing a user to perform a resistance exercise or a balance exercise; a coaching engine receiving and analyzing the state information measured by the user state information measurement unit during a user's exercise using the exercise unit and providing AI-based interactive coaching information to a user through the display panel; and an expert terminal providing rehabilitation service information to a user exercising using the exercise unit through the display panel in parallel with the coaching engine.

A system and method for targeted neurological treatment using brainwave entrainment therapy with passive treatment that allows for targeted treatment of particular areas of the brain, particular neurological functions, particular neurological states, and combinations of areas, functions, and states. The system and method receive gait parameters for an individual and compare those against a database of historical gait data to determine if an onset neurodegenerative condition is present, and applies a brainwave entrainment therapy responsive to the determination of the condition. The system and method receive a neurological assessment identifying areas of the brain or neurological functions to be treated, select one or more treatment modalities and frequencies, select a treatment regimen, and apply brainwave entrainment using a treatment regimen while the subject engages in dual-task activities selected to stimulate the areas of the brain, neurological functions, or neurological states to be treated, enhanced, or altered.

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.