This invention concerns a system for brain signal measurement and analysis using graphene based electrodes. The system is minimally invasive with small size electrodes and a stamp-size electronic processor with wireless communication and a remote computing device, enabling brain signal collection outside of clinical settings. The electrodes and electronic processor are both imprinted onto the subject's scalp using three-dimensional printers with small size electronics. After use, the electrodes and electronic processor may be washed off or removed without injuries to the subject.

A method for detecting cognitive decline of a user includes receiving speech data corresponding to one or more utterances spoken by the user and processing the received speech data to determine if the speech data is sufficient to perform a cognitive decline analysis of the user. When the speech data is insufficient to perform the cognitive decline analysis, the method also includes initiating a follow-up interaction with the user to collect additional speech data from the user, receiving the additional speech data from the user, and processing the received speech data and the additional speech data to determine a cognitive decline score for the user. The additional speech data corresponds to one or more additional utterances spoken by the user. The method also includes performing an action based on the cognitive decline score of the user.

A circadian health system (CHS) provides for improving the health of Alzheimer's patients and other persons by controlling their exposure to circadian lighting. Circadian sensor devices (CSDs) are distributed in a living space, e.g., at about eye-level positions on respective walls of room. Each CSD includes a spectral sensor for measuring the intensity of light at various wavelength bands. Captured spectra can be compared to circadian light signatures so that the sources of circadian light can be identified. The identifications then allow predetermined high-resolution, e.g., 5 nm, spectra in the circadian wavelengths of 450-500 nm to be determined. The spectra can then be used to control circadian lighting to provide prescribed doses of circadian stimulus.

A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A function mapping is executed from said neurophysiological and neurovascular data to a target that is one of a glymphatic flow marker, a molecular analysis marker of neurodegeneration, or a neuroimaging marker of neurodegeneration. A target prediction model is output based on the function mapping. The target prediction model can receive new neurophysiological and neurovascular data and output a predicted marker of neurodegeneration.

A neuromelanin sensitive magnetic resonance imaging (“MRI”) technique, method and computer-accessible medium for measuring the extent of, providing a diagnosis of, monitoring the treatment of, assessing novel treatments for, or determining a prognosis related to one or more neurological conditions.

The present disclosure relates to a method and a system for detecting an anomaly within a biological tissue. A first image of the biological tissue is obtained, the first image containing light at a first wavelength. A second image of the biological tissue is obtained, the second image containing light at a second wavelength. A texture analysis of the biological tissue is performed using spatial information of the first and second images. The texture analysis is resolved over the first and second wavelengths.

A computational personalized cognitive therapeutic system for treating patients with Mild Cognitive Impairment, Alzheimer's Disease, dementia and related conditions is described. The system includes a patient clinical database, a data aggregation layer and data pre-processor module, a digital cognitive therapy delivery module, a cognitive analytics engine, and a personalised cognitive platform configured to personalize a personalised cognitive digital therapy model. The personalised cognitive digital therapy model defines specific digital treatments to be delivered to the patient using the digital cognitive therapy delivery module each with a different mechanism of action. A range of digital cognitive biomarkers are collected along with behavioural and physiological biomarkers from wearable and medical devices which are processed by the cognitive analytics engine and uses AI/ML methods which are configured to estimate metrics and generate alerts. The metrics are used to assess treatment progress and then personalize the personalised cognitive digital therapy model for the patient including adjustment of digital therapies and medication. Alerts may be generated if adverse side effects are observed. This process is iteratively repeated to provide improved treatment over time.

Disclosed are a psychiatric disorder screening method and apparatus based on conversation. The psychiatric disorder screening apparatus outputs stimulation including at least one of a story, a word, a sound, a picture, a motion, a color or a direction, and when receiving a response to the stimulation from a testee, determines the presence or absence of a psychiatric disorder by comparing a correct answer ratio of the response or a voice feature included in the response with correct answer ratios or voice features of a normal group and a disease group.

According to an aspect, there is provided a computer-implemented method of determining an updated set of words for use in an auditory verbal learning test, AVLT, on a first subject, the method comprising receiving, by a processing unit, an initial set of words for use in an AVLT, wherein the initial set comprises a predetermined number of a plurality of words stored in a database; processing, by the processing unit, the initial set to determine feature values for the initial set; extracting, by the processing unit, one or more words from the database based on a desired level of similarity between the feature values associated with the one or more extracted words and the feature values of the initial set; and selecting, by the processing unit, one or more of the extracted words to include in an updated set of words for use in an AVLT for the first subject.

The present invention relates to a hyperspectral apparatus and method. One aspect of the invention provides an apparatus for analyzing a sample. The apparatus comprises a light source configured to generate a broadband input irradiance field. The apparatus also comprises a structured light generator for converting the input irradiance field into a structured illumination field including an array of beamlets. An optical system projects the structured illumination field onto a region of the sample such as the retina. A spectrometer is configured to spectrally analyze a portion of light that is reflected, backscattered or fluoresced from the region of the sample. A processor is operatively associated with the spectrometer and configured to generate a hyperspectral image comprising two or more en-face images of the region of the eye. The en-face images include spectral response information of the sample from each beamlet of the structured illumination field.