An improved system for assessing cognitive function is described that uses tracked electrical activity of the brain of the individuals in response to a specific sequence of stimuli in generating data sets, which, for example, can be encapsulated as a data structure. The data sets can include tracked specific response types, at different times and amplitudes, including, but not limited to, event related potential signal components. Brainwave features including, event related potentials, are tracked in relation to both pre-attentive brain responses and consciously controlled attention responses.

The present invention is in the field of hearing tests. In particular, the present invention relates to systems and methods for determining the integrity of Auditory Nerve Fibers (ANFs) and/or afferent Auditory Nerve Synapses (ANSs) and/or inner-hair cells (IHC) in a subject.

The present invention is in the field of hearing tests. In particular, the present invention relates to systems and methods for determining the integrity of Auditory Nerve Fibers (ANFs) and/or afferent Auditory Nerve Synapses (ANSs) and/or inner-hair cells (IHC) in a subject.

Aspects of the present disclosure provide a smart relaxation mask configured to output a stimulus and collect biometric information while the stimulus is output to determine if the subject is paying attention to the stimulus. If the subject is not focused on the stimulus, the mask adjusts at least one of an audio, visual, or haptic output. The stimulus is adjusted in an effort to shift the subject's attention to the stimulus and away from racing thoughts.

Aspects of the present disclosure provide a smart relaxation mask configured to output a stimulus and collect biometric information while the stimulus is output to determine if the subject is paying attention to the stimulus. If the subject is not focused on the stimulus, the mask adjusts at least one of an audio, visual, or haptic output. The stimulus is adjusted in an effort to shift the subject's attention to the stimulus and away from racing thoughts.

An estimation apparatus is configured to be capable of accessing a model storage unit that stores a model built by machine learning, using, as training data, information on a predetermined sound and information relating to a signal source of a signal indicating a brain activity of a first subject presented with the predetermined sound, the model outputting information on a sound estimated to be recognized by the subject. The estimation apparatus acquires a brain wave of a second subject presented with the predetermined sound. The estimation apparatus estimates, based on a mode of the brain wave acquired, a signal source of the brain wave, from among a plurality of regions in a brain of the second subject. The estimation apparatus inputs the information relating to the signal source estimated to the model and acquires information on a sound estimated to be recognized by the second subject.

An estimation apparatus is configured to be capable of accessing a model storage unit that stores a model built by machine learning, using, as training data, information on a predetermined sound and information relating to a signal source of a signal indicating a brain activity of a first subject presented with the predetermined sound, the model outputting information on a sound estimated to be recognized by the subject. The estimation apparatus acquires a brain wave of a second subject presented with the predetermined sound. The estimation apparatus estimates, based on a mode of the brain wave acquired, a signal source of the brain wave, from among a plurality of regions in a brain of the second subject. The estimation apparatus inputs the information relating to the signal source estimated to the model and acquires information on a sound estimated to be recognized by the second subject.

Systems and methods discussed herein can be used to augment or induce brainwave behavior, such as using auditory stimulus, in an example, ambient acoustic information can be received, selectively modulated, and presented to a user in a substantially continuous manner. A low frequency portion of received ambient acoustic information can be modulated and then combined with a high frequency portion of the ambient acoustic information to produce a combined signal. The combined signal can be provided to the user as an auditory stimulation signal.

Systems and methods of the present disclosure are directed to neural stimulation via non-invasive sensory stimuli. The non-invasive sensory stimuli can reduce neuroinflammation, improving synaptic plasticity and stimulating neural networking, and improving microglial-mediated clearance of cerebral insults, which would otherwise contribute to the progression of brain atrophy, by inducing synchronized gamma oscillations in at least one region of a brain in a subject. Stimulations can adjust, control or otherwise manage the frequency of the neural oscillations to provide beneficial effects to one or more cognitive states or cognitive functions of the brain, while mitigating or preventing adverse consequences on a cognitive state or cognitive function that stem from progression of brain atrophy.

The present specification describes methods and systems for modifying a media, such as Virtual Reality, Augmented Reality, or Mixed Reality (VR/AR/MxR) media based on a vision profile and a target application. In embodiments of the specification, a Sensory Data Exchange (SDE) is created that enables identification of various vision profiles for users and user groups. The SDE may be utilized to modify one or more media in accordance with each type of user and/or user group.