This disclosure is directed to a machine-based patient-specific seizure classification system. In general, an example system may comprise a non-linear SVM seizure classification system-on-chip (SoC) with multichannel EEG data acquisition and storage for epileptic patients is presented. The SoC may integrate a hardware-efficient log-linear Gaussian Basis Function engine, floating point piecewise linear natural log, and low-noise, high dynamic range readout circuits. In at least one example implementation, the SoC may consume 1.83 μJ/classification while classifying 8 channel results with an average detection rate, average false alarm rate and latency of 95.1%, 0.94% and <2 s, respectively.

A computer-implemented method for detecting pathological brain activity patterns from a scalp electroencephalographic signal, the method including the steps of obtaining (A) an electroencephalographic signal as a function of multiple channels and time; identifying (C), for each channel, the zero-crossings of the electroencephalographic signal over a fixed threshold; generating a zero-crossing representation of at least a segment of the obtained electroencephalographic signal with the identified zero-crossings; obtaining (D) a reference family of real functions of time and channels from a zero-crossing statistical analysis of zero-crossing representation of pre-recorded electroencephalographic signals; calculating (E) a matching score by comparing the zero-crossing representation of a segment of the electroencephalographic signal with at least one reference function from the reference family of functions; and computing the matching score as a function of time by sliding the at least one reference function from the reference family of functions over the electroencephalographic signal.

Cortical entrainment device (CED) and associated methods are provided. The CED device includes an electroencephalographic (EEG) analysis module configured to receive and process an EEG waveform for analyzing brain activity of a patient with epilepsy or a seizure disorder; an interictal epileptiform discharge (IED) analysis module configured to receive and process an IED waveform for analyzing the brain activity of the patient; and a diagnostic module that is configured to interface with the EEG analysis module and the IED analysis module, to evaluate spectral and temporal waveform characteristics, and to provide instructions to a therapy module for providing a stimulus for the patient based on the analysis by the EEG analysis module and the IED analysis module.

The purpose of the present invention is to provide a technique whereby multiple projection targets are efficiently identified from multiple neurons in multiple brain areas with the use of multis-point light stimulation. An acquisition unit 52 acquires spike signals generated from multiple neurons existing in the vicinity of two or more recording sites. A stimulation control unit 51 selects one projection target candidate from two or more candidates in accordance with a definite system on the basis of the spike signals and then determines irradiation timing of light stimulation. Upon the light stimulation, a management unit 53 acquires the spike signals in all of the recording sites within a definite period of time before or after the light stimulation, while dividing the spike signals into anti responses and collision responses. An anti response management unit 81 acquires and manages information relating to the anti responses. A collision response management unit 82 acquires and manages information relating to the collision responses. A priority control section 54 corrects and determines priority depending on the anti response information and the collision response information.

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.

Certain aspects of the invention provide a system and a method for treating an epileptic condition or a tumor of the brain. In one embodiment, the method of treating the epileptic condition includes acquiring inter- and post-ictal imaging profiles and from the brain of the patient and determining an ictal propagation pathway based on the profiles. A volume of cortical activation is determined for each of a plurality of virtual electrode placement positions based on the ictal propagation pathway and the virtual electrode placement position. An electrode is implanted at a position selected from the plurality of virtual electrode placement positions, based on the volume of cortical activation at the implantation position. An electrical pulse is delivered from the electrode, where the electrical pulse is of a magnitude and duration effective to at least reduce the epileptic seizure.

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.

Ultra-high field (“UHF”) magnetic resonance imaging (“MRI”) is used to localize the endopiriform nucleus (“EPN”) as a target for neuromodulation treatment. Single or multiple different image contrasts can be used to guide localization of the EPN. Treatment plan data are generated based on the localized EPN, and may include coordinate data, trajectory data, or both, for delivering neuromodulation treatment to the localized EPN.

There are disclosed systems and methods for seizure diagnosis by video electroencephalography (Video-EEG). There is disclosed a fully automated, portable, point-of-care diagnostic video EEG device. In an embodiment, the device includes a tracker configured for placement on a patient. The tracker has a set of sensors disposed thereon. An EEG headset is configured for detecting electrical activities of a brain of the patient. The EEG headset is configured for communicating the electrical activities of the brain of the patient. A telescoping stand provides built-in sensors. A mobile computing device is in communication with the built-in sensors and in communication with the EEG headset. A set of wheels provides controlled movement of the telescoping stand. Other embodiments are also disclosed.

Provided are systems, methods, and devices for providing mediation of a traumatic brain injury. Systems may include an interface, processing devices, and a controller. The interface is configured to obtain measurements from a brain of a user with a traumatic brain injury. A first processing device is configured to generate multiple brain state parameters characterizing one or more features of a brain state of the user. A second processing device is configured to generate models of the brain of the user based on the plurality of brain state parameters and the plurality of measurements, and determine, using the models and training data comprising one or more mediation data points, a mediation procedure for reducing one or more symptoms of the traumatic brain injury. The mediation procedure is provided to one or more entities, and one or more control signals are generated by the controller based on the mediation procedure.