Systems and methods for monitoring pulsatile flows are disclosed. One method includes obtaining a plurality of magnetic resonance imaging (MRI) scans of a biological structure, acquired consecutively in time, each of the MRI scans acquired using a modified True FISP sequence. The method also includes assembling the plurality of scans into a video file of the biological structure and identifying pulsatile features within the video file.

A system for evaluating neurologic dysfunction of a subject includes an odorant generator configured to deliver an odorant stimulation to the subject, an auditory generator configured to deliver an audible stimulation to the subject, a vibrotactile stimulator configured to generate a somatosensory stimulation to the subject, a plurality of electrodes configured to be attached to the subject at respective different locations, and at least one processor. The plurality of electrodes are configured to collect neural signals from the subject as a result of the odorant stimulation, the audible stimulation, and the somatosensory stimulation. The at least one processor is configured to process the neural signals from the plurality of electrodes and generate an assessment of neurologic dysfunction of the subject.

Systems and methods for generating a personalized cognitive treatment recommendation for an individual. The system includes one or more processors; and a memory to store processor-executable instructions. Upon execution of the instructions, the one or more processors receive parameters for at least one cognitive treatment tool; receive physiological data indicative of a condition of the individual, and/or clinical data associated with the individual; and generate the personalized cognitive treatment recommendation based on the physiological data and/or the clinical data. The recommendation includes a specification of (i) at least one first cognitive treatment tool, (ii) at least one second cognitive treatment tool different from the at least one first cognitive treatment tool, or (iii) both (i) and (ii). Optionally, the one or more processors receive performance data indicative of the individual's performance of at least one task associated with the at least one cognitive treatment tool of the recommendation.

Systems and methods of the present invention provide for: receiving a digital image data; modifying the digital image data to reduce a width of a feature within the digital image data; executing a dimension reduction process on the feature; storing a feature vector comprising: at least one feature for each of the received digital image data, and a correct or incorrect label associated with each feature vector; selecting the feature vector from a data store; training a classification software engine to classify each feature vector according to the label; classifying the image data as correct or incorrect according to a classification software engine; and generating an output labeling a second digital image data as correct or incorrect.

A computer access control system includes a client electronic device configured to administer an alertness test to a user. A computer access controller is coupled to and configured to be actuated by the client electronic device.

A method, computer program product, and computing system for administering an alertness test on a client electronic device to determine a result for a user, wherein the result is indicative of a level of alertness of the user. A location of the client electronic device is determined, thus defining a determined location. Remedial action is taken if the level of alertness of the user is insufficient for the user to perform a task at the determined location.

This disclosure relates to a magnetic resonance imaging device. The magnetic resonance imaging device includes an carrying unit; an imaging unit, a controlling computer, and a signal processing computer. The signal processing computer includes a controlling module, a data processing module, an image reconstructing module, an image storing module, and an image comparing module. The image reconstructing module forms cross-sectional scanned images of an user's brain memory showing microstructure. The image comparing module is configured to analyze and compare the cross-sectional scanned images of the user's brain memory showing microstructure captured at different times so that the controlling computer shows different suggestions corresponding to different judgement results of the image comparing module. The system may comprise a dementia monitoring system that provides users with advisory dementia warnings so users may be advised to seek further medical advice.

This disclosure relates generally to assessment of cognitive workload using breathing pattern of a person, where cognitive workload is the amount of mental effort required while doing a task. The method and system provides assessment of cognitive workload based on breathing pattern extracted from photoplethysmograph (PPG) signal, which is collected from the person using a wearable device. The PPG signal collected using the wearable device are processed in multiple stages that include breathing signal extraction to extract breathing pattern. The extracted breathing pattern is used for assessment of cognitive workload using a generated personalized training model, wherein the personalized training model is generated and dynamically updated for each person based on selection of a sub-set of breathing pattern features using feature selection and classification techniques that include maximal information coefficient (MIC) techniques. Finally based on personalized training model, the extracted breathing pattern is classified as high cognitive workload or low cognitive workload.

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.

Systems and methods for identifying abnormal movements or tremors in one or more human subjects. Kinetic and/or electromyographic sensors are employed in detection hardware to detect voluntary and involuntary movements. The data collected from such voluntary and involuntary movement detection can be further processed and compared to baseline data to identify and distinguish abnormal movements from normal movements. The identification of abnormal movements may indicate a neurodegenerative disorder.