Computer-implemented methods and automated systems for real-time detection of spreading depolarizations in a brain injured patient, based an algorithm of (a) providing a reference data base of spreading depolarization waveform templates generated from EEG recordings of confirmed spreading depolarizations (SD) in a reference brain-injured patient cohort; (b) recording an EEG of the brain injured patient to generate recorded EEG waveforms; (c) detecting a slow potential change present in a recorded EEG waveform by applying a power spectral density estimate to the recorded waveform; (d) comparing a detected SPC to a reference database of SD waveform template to identify a candidate SD; and (e) rejecting a candidate SD as a false positive based on overall signal power and amplitude analysis and identifying a non-rejected candidate SD as a detected SD.

A method of assisting a user wearing a head mountable display (HMD) when determining that the user may be in a pathological state includes: detecting, by one or more sensors, one or more parameters indicating one or more current properties of the user, generating information indicating the one or more current properties of the user based on the one or more parameters, determining whether the user may be in a pathological state or a non-pathological state based on the information indicating one or more of the current properties of the user, and performing a process under instruction of a processor in response to determining that the user may be in a pathological state, the process comprising one or more operations that the user can voluntarily instruct when the user is in a non-pathological state.

An implantable device includes one or more electrodes to sense an electrical signal from a brain and a waveform analyzer to identify a half wave in the electrical signal; determine an amplitude and a duration of the half wave; determine if the amplitude satisfies a half wave amplitude criterion defined by a set of amplitude parameters comprising a minimum half wave amplitude and a maximum half wave amplitude; determine if the duration satisfies a half wave duration criterion defined by a set of duration parameters comprising a minimum half wave duration and a maximum half wave duration; and identify the half wave as a qualified half wave when the half wave amplitude criterion and the half wave duration criterion is satisfied. A neurological event may be detected based on one or more qualified half waves and electrical stimulation therapy may be delivered to the brain in response to the detection.

Techniques for deuterium metabolic imaging (DMI) are provided. According to some aspects, metabolic imaging techniques are described in which deuterium (i.e., 2H)-labeled molecules are detected to assess metabolic processes. These techniques may have an improved spatial resolution compared to conventional techniques, and may provide the ability to determine metabolic information on a voxel-by-voxel basis to form a metabolic image of an imaged volume.

A method and apparatus for monitoring the health and safety of a subject in a room such as a secure room based on video images of the subject. The images are analysed to characterise the movement of the subject as gross movement, fine movement or no movement. In the case of gross movement, no vital signs of the subject are estimated and a display indicates that the subject is moving, but no vital signs are available. In the absence of gross movement, vital signs of the subject such as heart rate or breathing rate are estimated from the video images of the subject, for example by detecting and analysing photoplethysmogram signals in the video images, and the vital signs are displayed. Alerts may be generated if the vital signs are out of the normal physiological range. If vital signs cannot be detected in the video images but the movement of the subject is characterised as fine movement, the display shows that no vital signs are being estimated, but that the subject is moving. If no movement is detected and no vital signs estimate is obtained, then the display generates an alert indicating lack of movement and lack of vital signs.

An implanted electrical signal generator delivers a novel exogenous electrical signal to a vagus nerve of a patient. The vagus nerve conducts action potentials originating in the heart and lungs to various structures of the brain, thereby eliciting a vagal evoked potential in those structures. The exogenous electrical signal simulates and/or augments the endogenous afferent activity originating from the heart and/or lungs of the patient, thereby enhancing the vagal evoked potential in the various structures of the brain. The exogenous electrical signal includes a series of electrical pulses organized or patterned into a series of microbursts including 2 to 20 pulses each. No pulses are sent between the microbursts. Each of the microbursts may be synchronized with the QRS wave portion of an ECG. The enhanced vagal evoked potential in the various structures of the brain may be used to treat various medical conditions including epilepsy and depression.

In some embodiments, a display system comprising a head-mountable, augmented reality display is configured to perform a neurological analysis and to provide a perception aid based on an environmental trigger associated with the neurological condition. Performing the neurological analysis may include determining a reaction to a stimulus by receiving data from the one or more inwardly-directed sensors; and identifying a neurological condition associated with the reaction. In some embodiments, the perception aid may include a reminder, an alert, or virtual content that changes a property, e.g. a color, of a real object. The augmented reality display may be configured to display virtual content by outputting light with variable wavefront divergence, and to provide an accommodation-vergence mismatch of less than 0.5 diopters, including less than 0.25 diopters.

Methods, systems, and apparatus for detecting rhythmic synchronization of motor neurons. The system includes one or more sensors for receiving a first signal that measures an electrical signal of one or more neurons, the first signal having a first plurality of specific bursts. The system includes a processor connected to the one or more sensors. The processor is configured to receive the first signal. The processor is configured to generate a second signal based on the first signal using a discrete wavelet transform, the second signal having a second plurality of specific bursts. The processor is configured to determine a time delay between a specific burst within the first plurality of specific bursts and a specific burst within the second plurality of specific bursts using one or more expert rules. The processor is configured to apply the time delay to the first signal.

The present invention generally relates to apparatus, software and methods for assessing ocular, ophthalmic, neurological, physiological, psychological and/or behavioral conditions. As disclosed herein, the conditions are assessed using eye-tracking technology that beneficially eliminates the need for a subject to fixate and maintain focus during testing or to produce a secondary (non-optical) physical movement or audible response, i.e., feedback. The subject is only required to look at a series of individual visual stimuli, which is generally an involuntary reaction. The reduced need for cognitive and/or physical involvement of a subject allows the present modalities to achieve greater accuracy, due to reduced human error, and to be used with a wide variety of subjects, including small children, patients with physical disabilities or injuries, patients with diminished mental capacity, elderly patients, animals, etc.

Provided is a stroke monitoring system capable of measuring a user's biometric signal including an electroencephalogram using a device such as a wearable device for determining whether a user has a stroke for 24 hours, building a database of the measured user's biometric signal and other information, and predicting an occurrence of a user's stroke.