Methods, systems, apparatus, and non-transitory computer readable media are disclosed utilizing brain-computer interfaces (BCIs). Various embodiments are disclosed to allow a user to directly select multiple-choice answers, to provide motorized wheelchair controls, and to allow a user to play a game via the BCI. When used in a cognitive assessment test, embodiments include the administration of unmodified standardized tests with results in the same or a similar format as those taken without a BCI. Various embodiments are disclosed to improve the accuracy of BCI test administration using a three-step process for each test question, which includes determining whether the user intends to select an answer, monitoring user brain activity to determine a selected answer, and verifying the selected answer. In addition, the selected answer may be verified by monitoring user brain activity in accordance with a hold-release process to determine whether a user intends to initiate a state change.

In a medical image processing apparatus, a medical image processing method, and a medical image processing program, in a case where there are a plurality of past brain images, it is possible to select a past brain image with which the atrophy rate of the brain can be accurately calculated. An image acquisition unit acquires a target brain image Bt as a diagnostic target and a plurality of past brain images Bpi, which have earlier imaging dates and times than the target brain image Bt, for the same subject. A similarity calculation unit calculates the similarity between each of the plurality of past brain images Bpi and a standard brain image Bs. A selection unit selects a reference brain image B0 serving as a reference for calculating the amount of change of the brain from the plurality of past brain images Bpi.

A system for preventing wandering of an individual includes: a wearable alert device worn by the individual and including a controller, an antenna in communication with the controller, an alert component in communication with the controller for providing an alert to the wearer of the alert device, and a power supply in communication with the controller; and at least one base unit including a controller, the at least one base unit in communication with the alert device. When the alert device is determined to be in an area of caution in relation to the at least one bas unit, an alert is generated on the alert device that is perceptible to the wearer of the bracelet, the alert including one or more of arrhythmic vibrations and audible sounds.

The invention relates to methods and devices for providing parameters that indicate a higher likelihood of a postoperative delirium occurring. According to a first aspect of the invention, the following steps are provided: detecting (401) at least one EEG signal at the head of the patient; determining (402) the intraoperative alpha peak frequency of the EEG signal, wherein the alpha peak frequency in the power spectrum of the EEG signal is the frequency in the alpha band for which the power is greatest; checking (403) whether the determined intraoperative alpha peak frequency is significantly lower than a predefined reference value of the alpha peak frequency; and in the event of this, providing (404) a corresponding information in the form of a parameter that shows a higher likelihood of a postoperative delirium occurring. A second aspect of the invention evaluates the change in power of the alpha band after an anesthetic-inducing drug has been administered. A third aspect of the invention relates to determining the average amplitude of the “direct current” EEG signal and the development of same on initiation of anesthetic-induced loss of consciousness.

In one aspect, methods of reversing or delaying the progression of Alzheimer's disease in a subject having Alzheimer's disease or delaying the onset of Alzheimer's disease in a subject having mild cognitive impairment are provided. In some embodiments, the method comprises administering to the subject an oxysterol inhibitor.

The present specification describes a method for diagnosing if a patient is suffering from a stroke. The method includes: positioning a headset around the patient's head to passively receive vibrations generated by a cerebral vasculature of the patient's brain, the headset including at least one microphone or accelerometer; processing the received vibrations to obtain a signal; analyzing the signal to identify a pattern indicative of a stroke; and determining that the patient is suffering from a stroke based upon the result of a CT scan of the patient's brain and neck and the identified pattern indicative of a stroke.

A wearable electronic device, a system and methods of monitoring with a wearable electronic device. The device includes a hybrid wireless communication module with wireless communication sub-modules to selectively acquire location data from both indoor and outdoor sources, as well as a wireless communication sub-module to selectively transmit an LPWAN signal to provide location information based on the acquired data. The device may also include one or more sensors to collect one or more of environmental data, activity data and physiological data. The device may transmit some or all of its acquired data to a larger system, including a cloud-based server to, in addition to providing location-based data, be used as a part of a predictive health care protocol to correlate changes in acquired data to salient indicators of the health of a wearer of the device. In one form, the predictive health care protocol uses a machine learning model.

A memory identification and recovery device, based on recognition, includes a storing means stores memory data, an interaction means interacts with users, a feature marks generation means generates feature marks according the input from the interaction means, a search means searches memory data in the storing means, and a scene enhance means enhances the memory information of the user through utilizing the memory information of other users.

Traditional cognitive load estimation techniques rely on raw pupil size alone which is often prone to confound with changes in illumination, errors associated with sensor devices and irregular oscillations of pupil under constant light conditions. Estimation of cognitive load finds application in many domains including optimum work allocation, assessing a work environment and medical diagnosis. The present disclosure employs frequency domain analysis of pupil size variations to estimate load imposed by a cognitive task. A cognitive load metric based on power and frequency relations at mean frequency of the variation in pupil size addresses cognitive load estimation based on pupil dilation, wherein the pupil dilation is captured by employing low cost non-intrusive nearables.

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.