A dementia symptom detection system includes an information processor which determines the level of dementia of a user based on (i) a reference value which is for an index corresponding to behavioral and psychological symptoms of dementia and which is determined based on the history of the activity amount stored in storage and the history of device operation information stored in the storage, and (ii) a personal value of the user which is for the index and which is determined based on the detected activity amount of the user and the obtained device operation information of the user.

Systems and methods of the present disclosure are directed to systems and methods for treating cognitive dysfunction in a subject in need thereof. The system can include eyeglasses, a photodiode positioned to detect ambient light, light sources, and an input device. The system can include a neural stimulation system that retrieves a profile and selects a light pattern having a fixed parameter and a variable parameter. The neural stimulation system can set a value of the variable parameter of the light pattern, construct an output signal, and then provide the output signal to the light sources to direct light towards the fovea.

This document discusses, among other things, systems and methods configured to receive affect information from a patient in response to a provided affect inquiry and to receive real world activity information from the patient in response to a provided real world activity, and to provide patient neurofunction assessment information using the affect information and the real world activity information.

A device is provided for studying the ability of at least one mouse to find its bearings in a maze, the device including a plurality of houses distributed around a central agora and in which at least one stimulator allows the at least one mouse to carry out certain activities and/or satisfy certain primary needs. Each house further includes at least one sensor for measuring the activity of the mouse in the house, and more particularly its use of the at least one stimulator. Finally, a sensor makes it possible to detect and measure the movements of each mouse in the device. Quantitative parameters originating from these measurements thus make it possible to highlight the quality of the geographical memory of the at least one mouse.

Disclosed herein are platforms, systems, devices, methods and media for model optimization and data analysis using machine learning. Input data can be processed and analyzed to identify relevant discriminating features, which can be modeled using a plurality of machine learning models. A computing device can be configured with one or more optimized models for categorizing input data.

A medical image display apparatus includes an image acquisition unit that receives an input of a three-dimensional brain image of a subject, a brain area division unit that divides the three-dimensional brain image of the subject into a plurality of brain areas, an image analysis unit that calculates an analysis value for each brain area from the three-dimensional brain image of the subject, a data acquisition unit that acquires information indicating a correspondence between the brain area and a function of the brain, a display unit, and a display controller that displays an image showing the brain image of the subject divided into the brain areas, a function of the brain corresponding to each of the brain areas, and the analysis value on the display unit in association with each other.

The present disclosure provides a non-transitory computer program product embodied in a computer-readable medium and, when executed by one or more analysis modules, providing a visual output for presenting physiological signals of a cardiovascular system. The non-transitory computer program product comprises a first axis representing, subsets of intrinsic mode functions (IMF); a second axis representing a function of signal strength in a time interval; and a plurality of visual elements, each of the visual elements being defined by the first axis and the second axis, and each of the visual elements comprising a plurality of analyzed data units collected over the time interval. Wherein each of the analyzed data units comprises a first coordinate, a second coordinate, and a probability density value generated from an intrinsic probability density function of one of the subsets of IMFs.

Cognitive decline detection system includes obtainment unit and determination unit. Obtainment unit obtains the amount of movement during a sleep period and the amount of movement during a non-sleep period of a user for each day, the non-sleep period being the period other than the sleep period. Determination unit determines that the cognitive function of the user is lower during a determination period than during a comparison period set before the determination period when the frequency of days when a movement amount ratio falls below a predetermined ratio among days constituting the determination period is higher than that among days constituting the comparison period, the movement amount ratio representing the ratio of the amount of movement during the non-sleep period to the amount of movement during the sleep period.

Provided herein are devices (e.g., electrochemical sensors useful for detecting volatile organic compounds associated with certain diseases or conditions and/or diagnosing certain diseases or conditions). The devices comprise one or more layers of metal on a layer of silicon, and a layer of molecularly imprinted polymer in electrical communication with the one or more layers of metal, wherein the one or more layers of metal are each independently selected from a layer of chromium, platinum, gold, nickel, cobalt, tungsten, rhodium, iridium, silver, tin, titanium or tantalum, or an alloy thereof. Methods of using the devices (e.g., to detect one or more analytes in a sample, to detect and/or diagnose a disease or condition in a subject), and methods of making the devices are also provided.

A system is provided for tracking, in a distributed water infrastructure, water usage by category. The system may comprise at least one processor configured to receive from at least one sensor associated with the distributed water infrastructure signals indicative of water usage in the distributed water infrastructure. The system may, based on the signals indicative of water usage, construct a plurality of profiles. The system may assign each profile to one of a plurality of water usage categories. The system may collect, from the at least one sensor, signals indicative of water usage for substantially all water delivered through the distributed water infrastructure in a time period. The system may construct a plurality of water usage profiles in the aggregate, encompassing substantially all water delivered through the distributed water infrastructure in the time period. The system may assign each constructed water usage profile to one of the plurality of water usage categories. The system may output, for display, water usage for the time period for each of the plurality of water usage categories.