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.

A Vertical Running Machine called a VARRI—Vertical, Anti-Gravity, Re-habilitation, Recovery, and Impact Resistant. It relates to the field of bio-mechanical technology, human physiological facts, and the relationship of gravity and the functionality of the body in motion. This is a Vertical, Anti-gravity device created for Recovery from injuries, physical therapy Rehabilitation with the functional characteristics of Impact-free conditioning and by providing a non-impact system to improve the conditioning or recovery of the user, the patient or the elderly. The device provides a method of a more rapid and safer recovery from injuries and surgery and also is capable to provide enhanced athletic performance by using a vertical, non-impact system which alleviates the damages on the muscles and skeletal structure of the body from the continuous impact of horizontal running on the ground.

Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, an alignment plan capable of enabling, during a treatment session, the aligning of a user's body. The method comprises generating machine learning models trained to identify alignment plans. The method also comprises receiving treatment data that comprises a first position of the user's body, aspects of a treatment plan, and one or more attributes of the user. The method further comprises generating the alignment plan by using the machine learning models. The generating is based on at least the aspects of the treatment plan and at least one of the one or more attributes of the user. The alignment plan may comprise a target position of the user's body and one or more elements for adjusting the user's body from the first position to the target position. The method also comprises transmitting the plan to a computing device.

The present disclosure provides a method for performing a treatment plan, wherein the method comprises: receiving first patient data, wherein the first patient data includes at least a first patient identifier associated with the first patient and a first treatment plan; receiving second patient data, wherein the second patient data includes a second patient identifier associated with the second patient and a second treatment plan; receiving first measurement data associated with a first performance level of the first treatment plan by the first patient; receiving second measurement data associated with a second performance level of the second treatment plan by the second patient; determining differential data, wherein the determining is based on a contrast of the first or the second measurement data or first or second patient data; and generating, based on the differential data, an instruction to modify an operating state of the treatment apparatus.

A gait trainer adapted for use with a treadmill and, optionally, a spinning cycle, provides greater accessibility for therapeutic and rehabilitative gait pattern training to individuals confronting injury, illness, or disability. The gait trainer is adjustable, to accommodate a wide variety of users with different stride lengths and needs.

The present disclosure provides a method comprising the steps: receiving first patient data, wherein the first patient data includes at least a first patient identifier associated with the first patient and a first treatment plan including an exercise; receiving first measurement data, where the first measurement data is associated with a first performance data; receiving second measurement data, where the second measurement data is associated with at least one of a second performance data and a second patient identifier; one of anonymiztion of and pseudonymization of the second patient identifier; determining, via an artificial intelligence engine and based on one or more differences between the first and the second measurement data, differential data; and presenting, with a patient interface, at least one of the differential data, first measurement data, second measurement data, and the first patient data.

A system for ankle rehabilitation includes a motorized platform arranged to hold an ankle of a subject to be rehabilitated; a first sensor module arranged to detect signals representing movement intention of the ankle on the motorized platform; a second sensor module arranged to detect signals representing actual movement of the ankle on the motorized platform; and a processor arranged to process the signals detected by the first sensor module and the signals detected by the second sensor module, for control of movement of the motorized platform.

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.

A gait trainer attachment adapted for use with exercise equipment and a method for using the gait trainer attachment. Embodiments of the gait trainer attachment include a frame, a leg brace, and a compromised limb gait system. The compromised limb gait system attaches the leg brace to the frame and is configured to guide a limb of a user through a simulated gait motion. In aspects, the gait trainer attachment gives an amputee user the ability to use ordinary exercise equipment for rehabilitation and endurance training by providing a leg brace for the compromised limb, a frame designed to attach to exercise equipment, and a connection between the leg brace and frame that guides the compromised limb, thus allowing the user to maintain a biomechanically proper walking motion while exercising.

Provided herein is a mechatronic simulator system that provides various types of unexpected perturbations to challenge the proactive and reactive balance control in subjects to thereby improve balance control of the subject. The system includes a motion capture unit and a processing unit capable of analyzing the subject’s response to the perturbations, provide real time feedback, adjust and/or determine training sessions.