A hippotherapy device includes a saddle for receiving a person thereon, a programmable movement control, and an automatic movement device for automatically moving the saddle according to a movement pattern program. The program specifies a sequence of target values of positions and orientations of the saddle in the locality of the movement device in order to execute the movement pattern. The hippotherapy device further includes a person securing device having a main support on which a body strap is mounted, at least one sensor for detecting at least one physical variable characterizing the body posture of the person on the saddle, and an auxiliary control device configured to compare expected values of the physical variable with current values of the physical variable detected by the sensor, and to trigger an associated safety function, if a deviation of the current values from the expected values exceeds a predetermined tolerance threshold.

Exemplary arrangements provide leg training devices suitable for high intensity training of hip flexors while simultaneously training the extensors of hip and knee joints. The exemplary leg training devices include foot fixings which are permanent vertically movable components of the device, each of which are configured to releasably engage a foot of a user in operative engagement therewith while limiting the movement of the foot relative to the foot fixings. Each of the foot fixings is operatively connected to a suitable mechanism that provides a resistance force to vertical movement of the foot fixing by the user's leg. In exemplary arrangements the resistance force may be selectively variable with regard to the magnitude and/or point of application so as to provide the desired training regimen.

A device for training and rehabilitation of a limb is provided. The device provides a board with an ability to magnetically levitate a movement base above the board to allow for controlled movement of a limb or other body part of a user needing training and rehabilitation in various directions.

An exercise device with a redundant monitoring and control circuit integrated within or otherwise in communication with various components of the exercised device to detect and act on real or possible improper operation of the exercise device. A redundant controller may, based on a determination of a potentially out of specification operating condition of the exercise device, transmit one or more control signals to alter (e.g., reduce or remove) power to the motor of the exercise device. The redundant controller may provide a control signal to a motor power gating device to remove power transmitted to the motor from a power source and/or enable an inhibitor line of a motor controller to disconnect main power from the motor. Controlling the motor power gating device and the inhibitor line may ensure that power is removed from the motor even when a conflicting signal is being transmitted to the motor.

An electromechanical device for rehabilitation includes pedals coupled to radially-adjustable couplings, an electric motor coupled to the pedals via the radially-adjustable couplings, and a control system including a processing device operatively coupled to the electric motor. The processing device configured to, responsive to a first trigger condition occurring, control the electric motor to operate in a passive mode by independently driving the radially-adjustable couplings rotationally coupled to the pedals. The processing device also configured to, responsive to a second trigger condition occurring, control the electric motor to operate in an active-assisted mode by measuring revolutions per minute of the radially-adjustable couplings, and cause the electric motor to drive the radially-adjustable couplings when the measured revolutions per minute satisfy a threshold condition, and responsive to a third trigger condition occurring, control the electric motor to operate in a resistive mode by providing resistance to rotation of the radially-adjustable couplings.

Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, treatment plans for optimizing a user outcome. The method comprises receiving attribute data associated with a user. The attribute data comprises one or more symptoms associated with the user. The method also comprises, while the user uses a treatment apparatus to perform a first treatment plan for the user, receiving measurement data associated with the user. The method further comprises generating, by the artificial intelligence engine configured to use one or more machine learning models, a second treatment plan for the user. The generating is based on at least the attribute data associated with the user and the measurement data associated with the user. The second treatment plan comprises a description of one or more predicted disease states of the user. The method also comprises transmitting, to a computing device, the second treatment plan for the user.

A body stretching system, including a limb stretching unit, including a main body, a gripping structure disposed on at least a portion of the main body to removably connect to a first limb of a user, and a ratchet assembly disposed within at least a portion of the main body and connected to the gripping structure to removably connect to a second limb of the user and/or a stationary object and stretch the first limb away from or towards the second limb and/or the stationary object by increasing a tension level between the first limb and the second limb in response to moving the gripping structure, and a rack assembly removably connected to the limb stretching unit to facilitate stretching.

A training, rehabilitation, and recovery system comprises an exercise apparatus including a user interface member coupled to a plurality of links and joints, brakes capable of resisting movement of at least a subset of the links or joints, and sensors capable of sensing movement at the joints or the user interface member. The system also includes a processor configured to receive from the sensors positional data of the links or joints over an initial movement of the apparatus by a user, from which positional coordinates of the user interface member are calculated and a reference trajectory is established. An end space is defined based on the reference trajectory. Over a subsequent movement of the apparatus by the user, the processor receives additional positional data and determines a completion of a repetition based on the positional coordinates of the subsequent movement and the defined end space.

There is provided an apparatus for upper body movement. The apparatus comprises a H-shaped cable-driven mechanism; two motors for driving the H-shaped cable-driven mechanism; and a manipulandum coupled to the H-shaped cable-driven mechanism for independent movement along x and y axes.

A computer-implemented method for facilitating cardiac rehabilitation among eligible users is disclosed. The method includes the steps of (1) receiving health information associated with one or more users; (2) for each user of the one or more users: determining, based on health information associated with the user, a respective eligibility of the user for cardiac rehabilitation; (3) determining, based on the respective eligibilities, that at least one user of the one or more users is eligible for cardiac rehabilitation; (4) generating a treatment plan for the at least one user, where the treatment plan pertains to a cardiac rehabilitation that is specific to the at least one user; and (5) assigning the treatment plan to at least one electromechanical machine to enable the user to perform the cardiac rehabilitation.