The present invention relates to an apparatus (10) to analyse diffusion magnetic resonance imaging data. The apparatus comprises an input unit (20), a processing unit (30), and an output unit (40). The input unit is configured to provide the processing unit with at least one diffusion magnetic resonance imaging “dMRI” image of a patient's brain. The processing unit is configured to determine an estimate of an orientation of neurons at each voxel in the dMRI image, the determination comprising utilization of the at least one dMRI image. The processing unit is configured to determine a plurality of fiber tracts in the at least one dMRI image, the determination comprising utilization of the estimated orientation of neurons at each voxel in the at least one dMRI image. The processing unit is configured to select a plurality of voxels along at least one fiber tract of the plurality of fiber tracts. The processing unit is configured to determine a neurological disease classification, the determination comprising utilization of at least one diffusivity feature associated with each of the selected plurality of voxels. The output unit is configured to output the neurological disease classification.

A cognitive level evaluation system includes a detector and a cognitive level evaluator. The detector is configured to detect a behavior of a subject in a toilet space. The cognitive level evaluator is configured to evaluate a cognitive level of the subject based on a detection result of the detector.

A weighted lap pad comprising a base having a body-conforming configuration adapted to be placed across a lap of a seated user, the base having a plurality of channels having weights permanently enclosed within respective channels, the weights having a cumulative weight of greater than 2 pounds and a transparent window positioned at a surface of the base and in part defining a device pocket configured to receive a paper device or electronic touch screen device. The transparent window and associated pocket allowing a user to experience visual and multi-media sensation while simultaneously receiving tactile sensation of the weighted pad. The electronic device also allows for a variety of user control and sensory feedback options.

A method and system for remote diagnosis of a congestive heart failure in humans is presented. The method includes receiving a facial image of a patient, wherein the facial image is retrieved from a data store and captured from the patient; extracting, from the facial image, at least one facial feature indicative of a heart condition; classifying the extracted at least one facial feature using a classifier, wherein the classifier maps a plurality of candidate facial features to a plurality of scores indicating a stage of the heart condition; and determining a positive diagnosis and the stage of the heart condition of the patient based on the plurality of scores.

A method and system utilize unexpected combinations of cognitive exercises to provide routines performed simultaneously with aerobic exercise to address cognitive impairments. Cognitive exercises comprise specific steps in order to interact with a specific cognitive domain. All stimuli may be aural. Specific combinations of cognitive exercises are created to engage selected brain circuits and are correlated to specific cognitive impairments. The method may remediate selected cognitive impairments and strengthen cognitive abilities. The user responds to instructions for each exercise and performs each exercise in a specific order for a specific duration of time and through a specific number of sets. A processor performs a program comprising the routines and evaluates performance of a user. A program may be customized for an individual user. An individual user's data is processed to evaluate progress. Large libraries of data for multiple users may be processed to provide statistical databases.

Provided is a biosignal measuring device 100 capable of easily calculating data on blood flow volume, blood flow velocity, and path length in the subject P as data for the time domain, and simplifying brain disease diagnosis based on this. It relates to a biosignal imaging device 1 and a brain image-based brain disease diagnosis system. To this end, the biosignal measuring apparatus 100 detects the reflected light signal after the light irradiated from the plurality of light irradiation units 111 and the plurality of light irradiation units 111 for irradiating light to the subject P are reflected. Based on the light signal detected by the measurement unit 110 including a plurality of light receiving units 112 and the light irradiation control unit 121 for controlling the light signal irradiated from each light irradiation unit 111 and the light receiving unit 112 and a calculation unit 120 including a signal processing unit 122 that calculates data for the subject P in the time domain.

A cognitive impairment diagnostic apparatus includes: a display which displays a video for diagnosis of cognitive impairment on a display surface; an imaging unit which captures images of an eye of a subject; a detection unit which detects viewpoints of the subject on the display surface in time series based on the images captured by the imaging unit; a creation unit which creates a distribution map representing a distribution of the viewpoints detected by the detection unit; a storage unit which stores case characteristic data indicating a characteristic of a viewpoint distribution corresponding to a typical case in cognitive impairment; and a diagnostic unit which diagnoses cognitive impairment of the subject by determining whether the distribution map has the characteristic indicated by the case characteristic data.

A computer system for monitoring a change in a neurodegenerative disease in a user, comprising a writing apparatus comprising a sensor for recording data values indicating the chirographic performance of the user; a storage medium configured to store predetermined relationships associating the change in chirographic performance of the user over time with an indication of the change in the neurodegenerative disease of a user; and a processor connected to the sensor. A computer system for monitoring a change in a neurodegenerative disease in a user, comprising a display for presenting visual content to the user; a sensor for recording data indicating chirographic performance of the user, and intellectual performance of the user; a storage medium configured to store predetermined relationships associating the chirographic and intellectual performance with an indication of the change in the neurodegenerative disease; and a processor connected to both the display and the sensor.

A system and method for predicting mild cognitive impairment (MCI) related diagnosis and prognosis utilizing deep learning. More specifically, the system and method produce predictions of MCI conversions to Alzheimer's/dementia and prognosis related thereof. Using available medical imaging and non-imaging data a diagnosis and prognosis model is a deep learned model trained using transfer learning. An MCI-DAP server may then receive a request from a clinician to process predictions related to a target patient's diagnosis or prognosis. The target patient's medical data is retrieved and used to create a model for the target patient. Then details of the target patient's model and the diagnosis and prognosis model are compared, a prediction is generated, and the prediction is returned to the clinician. As new medical data becomes available it is fed into the respective model to improve accuracy and update predictions.