The invention provided herein relates to a wearable medical device and methods of use thereof for monitoring brain signals by electroencephalography technology in critically ill subjects suspected of having abnormal brain wave patterns including but not limited to electrographic seizures, spike and waves, periodic discharges and rhythmic delta activity.

A method of detecting a subject's physiological status, seizure state, or seizure type with limb-based accelerometers identifying a favored accelerometer or limb that provides a better sensitivity or false positive rate as compared to other accelerometers or limbs. The detection method may include determining whether the seizure conforms with an anticipated seizure type, and determining whether to base a seizure detection on data from the favored or un-favored accelerometers or limbs. The method may also include applying a weighing factor to base the detection on data obtained primarily from the favored accelerometer or limb or to not rely on data obtained primarily from un-favored accelerometers or limbs. The method may also include comparing data obtained from a favored accelerometer or limb with data obtained from other accelerometers or limbs or obtained from detection devices using ECG or EEG. An alert may be generated based on the detection of a seizure.

The present invention is directed to a computer application for seizure detection using biometric data and responsivity testing. The computer application collects biometric data and responsiveness test results from biometric sensors and an interactive user interface in order to identify and confirm seizures and monitor for severity, duration, and permit logging and notification. The computer application collects data such as heart rate, movement, and responsivity testing results. The computer application facilitates caregiver notification of seizures at or before seizure onset if the user has a warning aura and/or during prolonged or severe seizures (e.g. long duration or convulsive movements).

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.

Examples described herein may predict therapy efficacy and/or therapeutic parameters using a comparison of individual patient status data and brain network response maps for the therapy. For example, VNS parameters may be predicted using a comparison of patient EEG data and brain network response maps of VNS therapy at various parameters.

A sensor of an implantable medical device senses electrical activity of the brain. A data analyzer of the device monitors an electrographic signal corresponding to the electrical activity of the sensed brain signal, and processes the brain signal to obtain a measure of phase-amplitude coupling. For a selected portion of the electrographic signal, the data analyzer detects first features and second features of the electrographic signal. The first features represent oscillations in a low frequency range, while the second features represent oscillations in a frequency range higher than the low frequency range. For example, the low frequency range may correspond to theta frequency and the higher frequency range may correspond to gamma frequency. The data analyzer determines a measure of phase-amplitude coupling between oscillations in the low frequency range and oscillations in the higher frequency range based on occurrences of second features which coincide with first features.

Systems and methods are disclosed related to using acoustic waves to detect neural activity in a brain and/or localize the neural activity in the brain. Sensors positioned outside of a skull encasing the brain can detect acoustic waves associated with the neural activity in the brain. From output signals of the sensors, a particular type of neural activity (e.g., a seizure) can be detected. A location of the neural activity can be determined based on outputs of the sensors. In some embodiments, the ultrasound energy can be applied to the location of the neural activity in response to detecting the neural activity.

An electrical stimulation controlling device and an electrical stimulation system are provided. In which, the electrical stimulation controlling device includes a receiving circuit and a controller coupled to the receiving circuit. The receiving circuit is configured to receive an ictal neural signal which is a signal obtained by a detector when a neural event has been occurring. The controller is further coupled to a stimulator and configured to: determine a time point to start an electrical stimulation according to the ictal neural signal after an onset of the neural event has been determined; and generate and transmit a control signal to the stimulator for providing the electrical stimulation according to the determined time point.

A wearable monitoring device comprising a printed circuit board having a first side and a second side opposite the first side, wherein the printed circuit board is configured to couple to at least one sensor configured to monitor a physiological condition; at least a first padding layer coupled to the printed circuit board proximate the first side; at least a second padding layer coupled to the printed circuit board proximate the second side; a first protective layer coupled to the first padding layer opposite the printed circuit board; a second protective layer coupled to the second padding layer opposite the printed circuit board; at least one additional layer between the first protective layer opposite the printed circuit board; the first protective layer and the second protective layer seal together and enclose the first and second padding and the printed circuit board; and a power source coupled to the printed circuit board.

In an approach for presenting information on an object to be observed, a processor obtains information from a sensor about an object. A processor predicts a time period in which the object is expected to be at a location and in a state, based on historical data, obtained from the sensor, associated with the object. A processor determines whether the object is at the location and in the state within the time period. A processor presents information to a user, wherein the information is about the object.