Disclosed herein is a system that uses an eye tracker for diagnosing and facilitating rehabilitation therapy of a patient suffering from disability. The system creates a human machine interface (HMI) that integrates various low cost biosensors and artificial sensors for conducting rehabilitation therapy. The system combines spinal and supra-spinal feedback of the patient with the operant conditioning to facilitate visuomotor balance therapy (VBT), thereby reducing fall risk in disability survivors. The operant conditioning setup for shaping of visuomotor learning to bring about new behavior or to modify a certain aspect of an existing behavior is used for rehabilitation therapy that includes a behaviour response apparatus, a reward delivery module, a stimulus delivery system, and a behaviour control system. The system can also be extended to the patient's home for providing telerehabilitation therapy.

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.

A portable monitoring device comprises a hearing aid having a housing, a microphone (24), an acoustic signal processing means (43), and an acoustic output transducer (33). The portable monitoring device further comprises an EEG monitoring system arranged at least partly in said housing, and comprising a measuring unit (3) having electrodes (12) arranged external to the housing. The EEG monitoring system comprises a processing unit (42) for analyzing the EEG signal for identifying or predicting specific biological incidences, such as a seizure, in said person, decision means for deciding, based on said analyzed EEG signal, when an alarm or information must be provided to said person, and means for providing said alarm or information through said output transducer (33). The invention further provides a method of monitoring an EEG signal of a hearing impaired person.

Methods and systems are disclosed for discovery of knowledge, interest and experience of individuals indicated by measured psychophysiologic response (e.g., electroencephalograph) to sensible stimuli (e.g., images). Stimuli are selected to explore targeted topics described in various levels of detail and sub-categories organized as hierarchal trees. The degree of psychophysiologic response to stimuli associated with sub-categories of topics in the hierarchal tree guides selection of additional stimuli to systematically explore hierarchal tree nodes, levels and branches to discover the extent of knowledge, interest or experience related to the targeted topic. A system enabling these methods provides archival and search of hierarchal trees associated with topics of interest, target and non-target stimuli, stimulus dataset generation, editing and presentation, psychophysiologic data collection and processing via local and remote resources, evoked response detection, characterization and scoring, and association of indications of knowledge, interest or experience with regards to facets of the targeted topic.

Methods and systems are disclosed for discovery of knowledge, interest and experience of individuals indicated by measured psychophysiologic response (e.g., electroencephalograph) to sensible stimuli (e.g., images). Stimuli are selected to explore targeted topics described in various levels of detail and sub-categories organized as hierarchal trees. The degree of psychophysiologic response to stimuli associated with sub-categories of topics in the hierarchal tree guides selection of additional stimuli to systematically explore hierarchal tree nodes, levels and branches to discover the extent of knowledge, interest or experience related to the targeted topic. A system enabling these methods provides archival and search of hierarchal trees associated with topics of interest, target and non-target stimuli, stimulus dataset generation, editing and presentation, psychophysiologic data collection and processing via local and remote resources, evoked response detection, characterization and scoring, and association of indications of knowledge, interest or experience with regards to facets of the targeted topic.

A technique for determining one or more equalization parameters includes acquiring, via one or more electrodes, auditory brainstem response (ABR) data associated with a first audio sample and determining, via a processor, one or more equalization parameters based on the ABR data. The technique further includes reproducing a second audio sample based on the one or more equalization parameters, acquiring, via the one or more electrodes, complex auditory brainstem response (cABR) data associated with the second audio sample, and comparing, via the processor, the cABR data to at least one representation of the second audio sample to determine at least one measure of similarity. The technique further includes modifying the one or more equalization parameters based on the at least one measure of similarity.

A system and method for detection of a brainstem disorder, such as schizophrenia, by means of brainstem audiometry is disclosed. A subject's (4) responses on the physical properties of sound; frequency, time and amplitude are being detected. Sound stimuli are being presented, via a communication element (2) through a hearing organ (3) to the subject. Elements (7) are attached to the subject (7) for measurement of the subject's electrophysiological brain activity. Simultaneously as the mentioned sound stimuli (1) are presented to the subject (4) a trig signal is sent out from the organ for generation of stimuli (1), via a trig box (5), further to an organ for registration (6) of the electro-physiological brain activity in the subject (4), whereafter mentioned electrophysiological brain activity is stored and imaged, in computer equipment (8) for determination of a brainstem disorder in the subject.

The present application provides a left and right brain recognition method and device, and relates to the field of wearable devices. The method comprises: in response to that a user listens to an audio content meeting a predetermined condition, acquiring first brain electrical information of a first hemisphere of the user; and recognizing that the first hemisphere is a left brain or a right brain according to the first brain electrical information and reference information. The method and the device provide a left and right brain recognition method, facilitate a device that the user wears to perform automatic setting according to a recognition result, and enhance user experience.

Provided are methods of enhancing the performance of a subject on a cognitive task by improved self-regulation of internal distraction. The methods include presenting a computer-based cognitive training program to a subject, where performance of the subject on the cognitive task is enhanced by the cognitive training program. Computer readable media and devices useful for practicing the methods of the present disclosure are also provided.

A method for detection of an evoked response signal in noise including: generating a plurality of stimuli; receiving a noisy signal related to an evoked response to the plurality of stimuli; divide the noisy signal into a plurality of responses to the plurality of stimuli; estimate a statistic matrix for the plurality of responses; shrink the statistic matrix; calculate weights based on an inverse of the shrunk statistic matrix; apply weights to the plurality of responses to construct a final response; and output the final response. An apparatus having an input device configured to receive data related to a plurality of stimuli; and a processor configured to: receive a noisy signal and divide the noisy signal into a plurality of responses; estimate a statistic matrix; shrink the statistic matrix; calculate weights based on an inverse of the shrunk statistic matrix; and apply weights to the plurality of responses to construct a final response.