A physical area network for detecting head injuries described herein enables significantly improved cranial health monitoring and treatment by utilizing internal (in-body) mechanisms and information and external mechanisms and information.

A portable wireless neuromonitoring device can be used to diagnose and/or treat conditions of the brain and vision system. The device includes a sensor unit mountable on the head of a human subject and capable of recording signals from the brain in EEG and/or EFEG (electric field encephalography) mode, and the device can be used for simultaneous stimulus display and recording with latency of less than 1 millisecond. The device also includes electrodes that allow rapid set-up and measurement with low impedance contact with the scalp. The device can also be used in conjunction with virtual reality or alternate reality environments.

Embodiments of the present disclosure sets forth a computer-implemented method comprising receiving, from at least one sensor, sensor data associated with an environment, computing, based on the sensor data, a cognitive load associated with a user within the environment, computing, based on the sensor data, an affective load associated with an emotional state of the user, determining, based on both the cognitive load at the affective load, an affective-cognitive load, determining, based on the affective-cognitive load, a user readiness state associated with the user, and causing one or more actions to occur based on the user readiness state.

Unlike state of art eye blink detection techniques that are generalized for usage across individuals affecting accuracy of eye blink prediction from subject to subject, embodiments of the present disclosure provide a method and system for personalized eye blink detection using passive camera-based approach. The method first generates a subject specific annotation data, which is then further processed to derive subject specific personalized blink threshold values. The method disclosed provides three unique approaches to compute the personalized blink threshold values which is one time calibration process. The personalized blink threshold values are then used to generate a binary decision vector (D) while analyzing input test images (video sequences) of the subject of interest. Further, values taken by elements of the decision vector (D) are analyzed for a predefined time period to predict possible eye blinks of the subject.

An apparatus for vision testing comprises a visual test unit (VTU) configured to receive a patients face and perform the vision test on the patient. The VTU includes an internal display configured to generate a light stimulus and a gaze sensor configured to track the eye of the patient. In one aspect, a plurality of VTUs form a system controllable by a common technician to concurrently administer vision tests on different patients. In another aspect, the gaze sensor comprises a camera configured to capture a video of the patients eye displayed to the technician. In another aspect, the VTU is configured to pause testing upon detection of an adverse testing condition such as excessive head tilt or a closed eye. In another aspect, the test display comprises an array of LEDs and a perforated opaque screen to provide sufficient luminance. In another aspect, the VTU comprises a head mounted portion with a pair of focusing lenses and a mirror arranged to transmit light from the test display to the eyepiece and from the eyepiece to the gaze sensor. In another aspect, the VTU includes a patient input device configured to receive input from the patient to signal observance of a light stimulus in the visual field around a fixation point, and the VTU is configured to monitor the patients gaze and pause the test upon detecting that the patients gaze has moved from the fixation point.

A device and system for promoting more recuperative sleep by regulating a user's body temperature. This may be done by using a series of devices that measure information about the user both while they are awake and while they are asleep, communicate that information to a processing unit, and create an ideal body temperature range profile based on that information. A temperature stimulus device may ensure that the core body temperature of the user stays substantially within the ideal body temperature range. By keeping the core body temperature of the user within the calculated range, the device and system will ensure deeper, and therefore more recuperative, sleep.

In described embodiments, a device and method for diagnosing brain and neurological issues is provided. The device measures the performance of Convergence, Divergence, and binocular tracking capabilities of a subject's eyes, which can be used to determine whether a subject has experienced a brain or other neurological event.

A dynamic neuropsychological assessment tool according to an embodiment utilizes speech recognition, speech synthesis and machine learning to assess whether a patient is at risk for a neurological disorder, such as Alzheimer's disease. The dynamic neuropsychological assessment tool enables self-administration by a patient. The tool performs pre-test validation operations on the test environment, test equipment, and the patient's capability for performing the test at that time. The tool also enables dynamic modification of a questionnaire presented to the patient while the patient completes the questionnaire. Also provides the dynamic modification of which tests to present the patient with. The modification can be rule based or modified by a provider. The dynamic neuropsychological assessment tool enables providers and administrators to modify and improve tests and validate them using machine learning based on previously completed assessments and results.

A system and/or method for diagnosing a neurologic condition. The system comprises a wearable head orientation sensor, a wearable eye imaging module, and a display with a visual target. The head orientation sensor is responsive to pitch or yaw head orientation information. The eye imaging module is configured for imaging a characteristic of the retina, sclera, cornea, limbus, or pupil to determine an eye position or eye movement. An electronic circuit in the system determines an ocular parameter measurement in response to the head orientation sensor and the eye imaging module. The neurologic condition is diagnosed in response to the ocular parameter measurement.

Disclosed herein are systems and methods for neural interfaces. Neural interfaces may form minimally invasive and high-scalable bidirectional brain-computer interfaces, which may be used in the treatment of a variety of disorders of the brain and nervous system. Disclosed are methods for a minimally invasive technique for implanting neural interfaces, a neural interface configured to be placed between the brain and the dura and configured to record from and/or stimulate the cortical surface. Also disclosed are methods for attaching a plurality of microelectrode arrays to form a neural interface device, and fabricating neural interfaces including microelectrode arrays and pockets to facilitate their insertion. The disclosed systems and methods also include neural decoding techniques.