An adjustable knee ankle foot orthosis for unloading weight from a knee joint afflicted with osteoarthritis, thus reducing pain and improving mobility, comprising: an upper and lower frame connected by an unloading hinge assembly, optionally comprising a sensor and processor allowing for remote or automatic control of brace tension. In embodiments, the brace includes a user mechanism that is capable of adjusting a tensioning element while the brace is being worn. In other embodiments, electronic motors, sensors, and indicators may be included in the brace to improve brace performance and user interaction.

Proposed is a rehabilitation exercise device for upper and lower limbs. The rehabilitation exercise device is characterized by including: a first support supporting a user's hand or foot; a second support supporting a user's forearm or calf; a pair of first hinges rotatably connecting the first support and the second support to each other; a third support supporting a user's upper arm or thigh; a pair of second hinges rotatably connecting the second support and the third support to each other; and a distance adjustment part configured to adjust a distance between the first support and the third support by adjusting length of the second support.

A walking assist device includes a pair of link members rotatably connected to each other at an output shaft situated at a location corresponding to a knee of a user, one link member being fixed to a thigh side of the user, and another link member being fixed to a lower leg side of the user, a rotary damper that generates a resistance force that is conveyed to the output shaft and that acts against rotation of the link members around the output shaft, a one-way gear that limits the resistance force generated by the rotary damper to one of directions of the rotation of the link members around the output shaft, and a clutch that switches between conveyance and non-conveyance of the resistance force from the rotary damper.

A method for updating a treatment plan. The treatment plan is associated with a user using a treatment apparatus to perform the treatment plan. The method includes receiving first data associated with a first diagnosis of the user. The method includes generating, based on the first data, an initial treatment plan to be performed on the treatment apparatus by the user. The method includes receiving second data associated with a first attribute of the user. The method includes generating, via an artificial intelligence engine, a machine learning model trained to generate an updated treatment plan based on the initial treatment plan and the second data.

A flexible wearable robot for assisting with a walking motion of a user may include a thigh strap to be worn to enclose a thigh portion of a user, a shank strap to be worn to enclose a shank portion of the user, a driver to be worn on a back or waist portion of the user to provide a driving force for assisting with a walking motion of the user, a first driving wire with one end connected to the thigh strap and the other end connected to the driver to receive tension, a second driving wire with one end connected to the shank strap and the other end connected to the driver to receive tension, and a controller to control a drive of the driver to selectively apply tension to at least one of the first driving wire and the second driving wire.

The present disclosure discloses an unpowered wearable walking assistance knee equipment with gait self-adaptivity comprising a left foot power output assembly, a right foot power output assembly, a left leg knee joint assistance execution assembly, a right leg knee joint assistance execution assembly and a driving force transmission device. The equipment of the present disclosure is based on lever principle and crank block structure principle and adopts an operation mode of combining ipsilateral parallel driving input and different sides cross driving input. The self-weight of the human body is utilized as a driving force during the walking process to enable the left foot power output assembly to provide the left leg knee joint assistance execution assembly with a pulling force for its stretching and to provide the right leg knee joint assistance execution assembly with a pulling force for its bending, and to enable the right foot power output assembly to provide the right leg knee joint assistance execution assembly with a pulling force for its stretching and to provide the left leg knee joint assistance execution assembly with a pulling force for its bending, so that a torque for assisting the stretching and bending of the left leg knee joint and the right leg knee joint is generated according to a gait cycle regularity during the walking process, and the goal of walking assistance is achieved.

A method for controlling an ankle-type walking assistance device may include measuring an angle of a joint of the walking assistance apparatus, calculating an angular velocity and a linear velocity of a frame of the walking assistance device using an inertial measurement unit (IMU) attached to the frame, generating a dynamics model for the walking assistance device based on the angle of the joint, the angular velocity and the linear velocity of the frame, calculating a disturbance applied to the walking assistance device based on the dynamics model, and controlling the walking assistance device based on the calculated force, equivalent, or wrench.

A portable modular stretching apparatus has a basic structure of a base, central rod, pulley, cable system, and two legs jointed at the central rod and alongside the base. Attachments are then added for customized stretching. Attachments provide for hamstring, hips, quadriceps, knees, gastrocnemius, ankle, and metatarsal stretching, limberness, and extension, and hyperflexion. A person adds and removes the attachments based on the desired stretch routine, controls the tension, and removes the attachments, and folds the apparatus when complete.

A smart knee brace including a knee brace, multiple thigh bands, multiple shin bands, and multiple brace straps removably attached to one another and multiple motion actuators and sensors. Each motion actuator is connected to one brace strap and each sensor is connected to one motion actuator to measure an orientation of corresponding brace strap and generate a motion signal. A computing device receives the motion signals from the sensors; measures a current range of motion of the thigh, the shin, and the knee, and, based on the received motion signals, and generates drive signals based on the measured current range of motion. A native smart knee brace computer application on a smart phone of the user is operatively connected to the computing device and a cloud application server provide higher level analysis of the motions of the smart knee brace.

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.