A method and apparatus for helping a user walk may verify whether the user is in a standing state and calculate a torque that controls balance of the user, and an assistance force for controlling balance may be provided for the user based on the torque generated by an actuator.

A series of multi-plane sensors are attached to different points on the body such as forearms, calves, lower backs, and necks and are used to establish planes of each body part is disclosed herein. The multi-plane sensors stream the plane data and velocity vector data to a centralized computing device such as a computer, smart phone, or smart watch. The centralized computing device runs a software application which includes an open source library which platform partners utilize to write proprietary applications which utilize the sensor stream data.

A medical system and method are disclosed herein. The medical system, in an embodiment, has computer-readable instructions configured to be executed by one or more processors to cause at least one display device of a wearable device to generate a plurality of graphics. The graphics are configured to stimulate a voluntary eye function of at least one eye of a subject, to stimulate an involuntary eye function of the at least one eye, and to block a vision of the at least one eye. The instructions are also configured to cause at least one sensor of the wearable device to sense eye movement, head movement, and pupillary resizing. The instructions are also configured to cause processing of a plurality of sensed eye parameters and any sensed head movement parameters and to generate an examination output that at least indicates a plurality of the sensed eye parameters.

An apparatus for assessing balance is described comprising a light source; a light guide; and a light detector. The light source is arranged to introduce light into the light guide; the light guide is arranged to be stood upon by a subject; the light detector is arranged to detect light emanating from the light guide to thereby facilitate an assessment of the balance of the subject standing upon the light guide.

Various embodiments provide systems and methods for identifying impairment using measurement devices.

A person's fall risk may be determined based on machine learning algorithms. The fall risk information can be used to notify the person and/or a third party monitoring person (e.g. doctor, physical therapist, personal trainer, etc.) of the person's fall risk. This information may be used to monitor and track changes in fall risk that may be impacted by changes in health status, lifestyle behaviors or medical treatment. Furthermore, the fall risk classification may help individuals be more careful on the days they are more at risk for falling. The fall risk may be estimated using machine learning algorithms that process data from load sensors by computing basic and advanced punctuated equilibrium model (PEM) stability metrics.

The present invention relates to systems and methods for management of brain and body functions and sensory perception. For example, the present invention provides systems and methods of sensory substitution and sensory enhancement (augmentation) as well as motor control enhancement. The present invention also provides systems and methods of treating diseases and conditions, as well as providing enhanced physical and mental health and performance through sensory substitution, sensory enhancement, and related effects.

A force measurement system is disclosed herein. The force measurement system includes a force measurement assembly configured to receive a subject thereon, and one or more data processing devices operatively coupled to the force measurement assembly. In one or more embodiments, the one or more data processing devices are configured to generate a first image portion comprising a primary screen image for viewing by the subject and display the first image portion using the at least one visual display device, and the one or more data processing devices are further configured to generate a second image portion comprising a virtual screen surround and display the second image portion using the at least one visual display device. The virtual screen surround of the second image portion is configured to at least partially circumscribe three sides of a torso of the subject and to substantially encompass a peripheral vision of the subject.

The invention relates to a method for quantifying the balance of an individual to obtain a value representative of the balance of said individual, said method being implemented by a device comprising at least one data processing module, one storage means, and one classification module, said method comprising in particular the following steps: segmenting, as a function of time, the statokinesigram(s) of an individual so as to generate several statokinesigram portions, extracting, from the statokinesigram portions, values of at least one trajectory parameter, determining the value of at least two quantifiers, from the values of trajectory parameters extracted in the extraction step for each of the statokinesigram portions generated in the segmentation step, and determining said value representative of the balance of the individual from the values of the quantifiers of each of the statokinesigram portions.

Systems, devices, and methods are provided for reducing a risk of unintentional falls in a subject that is at risk for falls. The device includes a sensor and a stimulator. The sensor is configured to be positioned adjacent a body portion of the user that changes orientation when the user sits and stands. The sensor is also configured to emit an activation signal when the user stands and to emit a deactivation signal when the user sits or lies down. The stimulator is in communication with the sensor and is configured to be positioned adjacent one of a calf and a lower back of the user. The stimulator is configured to vibrate at a frequency that stimulates proprioceptors of the user without inducing muscle contractions upon receipt of the activation signal from the sensor and to cease vibration upon receipt of the deactivation signal from the sensor.