A computer-implemented method for (1) receiving one or more characteristics of a user, wherein the one or more characteristics comprise personal information, performance information, measurement information, or some combination thereof, (2) generating, using one or more trained machine learning models, a treatment plan for the user, wherein the treatment plan is generated based on the one or more characteristics of the user, and the treatment plan comprises: (i) a dietary plan that is tailored to manage one or more medical conditions associated with the user, and (ii) an exercise plan comprises one or more exercises associated with the one or more medical conditions, and (3) presenting, via a display device, at least a portion of the treatment plan comprising the dietary plan.

A physical stretching apparatus having: an anchor strap, wherein the anchor strap is configured to be operable for attaching the apparatus to any stationary object; an anchor joint, the anchor joint is configured to attach the anchor strap and a rope implement; an elastic looped strap configured to secure the apparatus to various points on a user; an attachment contrivance, wherein the attachment contrivance is configured to be operable for attaching the elastic looped strap to the rope implement; a rope lock that is configured to permit the rope implement to pass in one direction when pulled and restricts the rope implement from passing in an opposite or reverse direction; a release mechanism that disables this restriction; and a sliding restrainer, wherein the sliding restrainer is configured to be operable for adjusting a size of the looped strap.

The described device demonstrates an apparatus and method for a collapsible wheeled walker or rollator that includes a pair of height adjustable armrests or supports. The armrests may be selectively articulated about hinge or pivot attached to a support tube. The articulating armrest may be locked into a stationary position via a locking pin for use as a typical standing rollator. Alternatively, the armrests are articulable about a hinge when the locking pin is removed, where a damper is interconnected between the hinge and a handle tube attached to the armrests to provide resistance to the movement of the armrests allowing a user to exercise arm muscles while using the wheeled walker. As such the disclosed device operates as both a wheeled walker and an exercise mechanism for the user's arms and upper body.

Apparatus and methods relate to a multi-modal rehabilitation device having a reconfigurably lockable, adjustable knee stabilizer and a removable foot plate provided with removable resistance elements. In an illustrative example, the resistance elements may be repositionable. The foot plate may be provided with rollers. The rollers may be configured for use in gliding exercises. The rollers may be configured for self-massage therapy. The rollers may be removable. The rollers may be disposed in a removable leg band which may be disposed around a leg of a user. In an illustrative example, the device further includes a graduated self-deflating thermal-compression device. Various embodiments may provide multiple therapy modalities in an efficient, economical, and user-friendly device.

Disclosed are example embodiments of for a torque force training system. The torque force training system including a first weighted end collar, a second weighted end collar, a first massage tool, a second massage tool, and a center connecting core configured to connect the first massage tool and the second massage tool, the first massage tool configured to couple to the first weighted end collar and the second massage tool configured to couple to the second weighted end collar. The center connecting core may be coupled to the first massage tool and the second massage tool, the first massage tool opposite the second massage tool. The first massage tool may be coupled to the first weighted end collar and the second massage tool may be coupled to the second weighted end collar.

Various examples are provided related to gait assist. In one example, a gait assist assembly includes a foot strap that can be positioned on a foot of a lower extremity; an inferior knee strap that can be positioned below a knee of the lower extremity; a superior knee strap that can be positioned above the knee; belt straps or vest; and at least one resistance band or tube for connection to or through a combination of connectors of the foot strap, the inferior knee strap, the superior knee strap, and/or belt straps or vest. In another example, a gait assist assembly includes a foot strap; a knee brace including inferior and superior knee connections; a vest or belt straps; and at least one resistance band or tube for connection to or through a combination of connectors of the foot strap, the knee brace, and/or vest or belt straps.

A computer-implemented system comprising a treatment apparatus, a patient interface, and a processing device is disclosed. The processing device is configured to receive treatment data pertaining to the user during the telemedicine session, wherein the treatment data comprises one or more characteristics of the user; determine, via one or more trained machine learning models, at least one respective measure of benefit one or more exercise regimens provide the user, wherein the determining the respective measure of benefit is based on the treatment data; determine, via the one or more trained machine learning models, one or more probabilities of the user complying with the one or more exercise regimens; and transmit the treatment plan to a computing device, wherein the treatment plan is generated based on the one or more probabilities and the respective measure of benefit the one or more exercise regimens provide the user.

A computer-implemented system may include a stair-climbing machine configured to be manipulated by a user while the user performs a treatment plan, an interface comprising a display configured to present information associated with the treatment plan, and processing structure configured to receive, from one or more data sources, information associated with the user, wherein the information comprises one or more risk factors associated with a cardiac-related event; generate, using one or more trained machine learning models, the treatment plan for the user, wherein the treatment plan is generated based on the information associated with the user, and the treatment plan comprises one or more exercises associated with managing the one or more risk factors in order to reduce a probability that a cardiac intervention will occur; and transmit the treatment plan to cause the stair-climbing machine to implement the one or more exercises.

The invention provides an exercise machine (10) of the type which have pedals (38) or foot plates through which a person can, in use, transfer kinetic energy to the machine, which machine comprises a means for vibrating the pedals or foot plates during exercise. The exercise machine includes a mechanism (40) to engage or disengage the vibration.

Methods and apparatus for increasing cerebral blood flow for improving the flow of blood to the brain during and/or following an ischaemic stroke. The apparatus includes a plurality of inflatable cuffs to be positioned, in use, around a respective limb of a patient. Once inflated, the cuffs exert a pressure upon the limb to reduce blood flow to the limb below the point at which the cuff is positioned. Reducing blood flow to the limbs causes an increase in blood flow to the brain, and will therefore improve stroke outcomes. The apparatus includes a control module for controlling inflation and deflation of each cuff. The control module detects, measures and monitors cerebral blood flow and uses these measurements to control inflation and deflation of each cuff such that cerebral blood flow is maintained above a baseline level during treatment of the patient.