Methods, systems, and apparatuses for detecting seizure events are disclosed, including a system for identification of an increased risk of a severe neurological event. The system may include an electroencephalogram (“EEG”) monitoring unit configured to collect EEG data from the patient during at least a postictal phase or one or more seizures and a processing unit configured to receive the EEG data from the EEG monitoring unit. The processing unit is configured to detect postictal EEG suppression from the EEG data and to identify the increased risk of the severe neurological event based on the detected postictal EEG suppression. Other embodiments are described and claimed.

Electrical non-invasive brain stimulation (NIBS) delivers weak electrical currents to the brain via electrodes that are affixed to the scalp. NIBS can excite or inhibit the brain in areas that are impacted by that electrical current during and for a short time following stimulation. Electrical NIBS can be used to change brain structure in terms of increasing white matter integrity as measured by diffusion tensor imaging. Together the electrical NIBS can induce changes in brain structure and function. The present methods and devices are adaptable to and configurable for facilitating the enhancement of brain performance, and the treatment of neurological diseases and tissues. The present methods and devices are advantageously designed to utilize modern electrodes deployed with, inter alia, various spatial arrangements, polarities, and current strengths to target brain areas or networks to thereby enhance performance or deliver therapeutic interventions.

Disclosed systems include a self-contained electroencephalogram (EEG) recording patch comprising a first electrode, a second electrode and wherein the first and second electrodes cooperate to measure a skin-electrode impedance, a substrate containing circuitry for generating an EEG signal from the measured skin-electrode impedance, amplifying the EEG signal, digitizing the EEG signal, and retrievably storing the EGG signal. The patch also comprises a power source and an enclosure that houses the substrate, the power source, and the first and second electrodes in a unitary package.

A handheld device for sonifying electrical signals obtained from a subject is provided. The device can utilize at least one of several operations including (but not limited) digitizing signals from electrodes, adjusting the signals based on accelerometer input, filtering the signals, conditioning the signals according to conditioning parameters, modulating the signal according to sound synthesis parameters, and generating sound from the representations of the signals to accomplish sonification. The device can include an analog-to-digital (A/D) converter to digitize the one or more electrical signals and a processor that receives the one or more digitized electrical signals and produces a representation of an acoustic signal. The device further includes a speaker system that sonifies the representation of the acoustic signal.

Methods of performing diagnostic tests on electroencephalography (EEG) recording devices comprising at least one stimulator coupled with a plurality of EEG electrode recording channels and corresponding recording channel connectors are performed by a test fixture comprising a plurality of resistors coupled with one or more of the EEG electrode recording channels and corresponding recording channel connectors. The methods include performing an impedance test for determining if each EEG recording channel of the EEG recording device has a predefined impedance, performing a channel uniqueness test for each EEG recording channel, performing a test for verifying the state of a switch of the stimulator of the EEG recording device, and performing a test for verifying connector IDs of the recording channel connectors connecting the EEG electrodes to respective EEG recording channels.

One embodiment provides a method, including: obtaining EEG data from one or more single channel EEG sensor worn by a user; classifying, using a processor, the EEG data as one of nominal and abnormal; and providing an indication associated with a classification of the EEG data. Other embodiments are described and claimed.

A system for real-time monitoring of movement of a person on a mattress includes sensor devices positioned on one or more peripheral surfaces of the mattress and configured to sense motions of the one or more peripheral surfaces. The sensor devices includes at least first and second sensor devices positioned on a first side surface of the mattress. A processing subsystem is configured to receive signals indicative of the sensed motions of the peripheral surface(s) from the sensor devices, determine whether at least the sensed motions to one or more alert conditions, and selectively cause, or not cause, one or more visual and/or audio indicators to be generated based on whether at least the sensed motions correspond to the alert condition(s).

Disclosed is a stent-mesh and microelectrode assembly that is deployable using a catheter or cannula to form a neural interface for recording and/or stimulation of neural tissue. In some embodiments, the assembly may include a thin-film microelectrode array attached to a spring-like stent-mesh component. The thin-film microelectrode array may include an electrode body having two lateral wing-like appendages located distal to a thin-film flexible cable that terminates at the proximal end in a thin-film connector region. The stent-mesh may be attached to the thin-film microelectrode array and configured to be advanced to a target area in a collapsed state and then expanded after reaching the target area to transition the thin-film microelectrode array to a deployed configuration. Accordingly, the assembly may deliver the thin-film microelectrode array to a target area in a minimally invasive manner.

Systems and methods for provoking and monitoring neurological events are described herein. In some embodiments, a method for monitoring a patient includes outputting a user interface configured to guide the patient in performing a provocation sequence for a neurological event. The method can also include obtaining patient data indicative of a state of the patient during the provocation sequence. The method can further include evaluating suitability of the patient data for detecting an occurrence of the neurological event. The method can include outputting feedback via the user interface based on the evaluation.

An object of the present invention is to more appropriately extrapolate a sign of a state that may affect a movement of a user. A state extrapolation device according to the present invention includes a vital sign acquisition unit that acquires a vital sign of a user, and a sign detection unit that uses a learned model that has learned, as training data, sign data about the vital sign related to a predetermined physical condition abnormality, and detects a sign by determining whether or not the vital sign of the user corresponds to a sign of the predetermined physical condition abnormality.