Brain dysfunction can be treated by restructuring neural pathways in the brain. A desired area in the brain to form a new neural pathway is selected. The area receives a sequential combination of (1) transcranial photobiomodulation therapy (PBMT) including a series of pulses having a frequency matched to a target brain wave and (2) another transcranial stimulation (e.g., transcranial direct current electrical stimulation and/or transcranial magnetic stimulation). The different stimulation mechanisms ensure that neuroplasticity occurs to restructure a neural pathway that is dysfunctional in nature to a new neural pathway that conducts normally.

A set of one or more processing circuits obtains eye movement-related eardrum oscillation (EMREO)-related measurements from one or more EMREO sensors of a hearing instrument. The EMREO sensors are located in an ear canal of a user of the hearing instrument and are configured to detect environmental signals of EMREOs of an eardrum of the user of the hearing instrument. The one or more processing circuits may perform an action based on the EMREO-related measurements.

The invention relates to a portable device for video electroencephalography. The device has a central portion to which a plurality of arcuate arms are directly or indirectly connected in a movable manner. The arms together define a helmet structure adapted to be worn on the head of a patient, arm is configured to allow mounting of one or more electrodes which are connected to an electronic central unit mounted on the helmet structure. The device also has a supporting member and a video camera mounted on the supporting member so as to face the helmet structure, said video camera. The arms have a first arm and a second arm which extend away from each other in a longitudinal direction (L), as well as a third arm and a fourth arm which extend away from each other in a front direction (F). The first and second arms are pivoted on the central portion about respective axes parallel to the front direction (F), and the third and fourth arms are pivoted about respective axes parallel to the longitudinal direction (L).

The present disclosure provides systems and methods for seizure detection. The method for seizure detection may include receiving a plurality of electroencephalography (EEG) signals over a plurality of channels for a subject, preprocessing the plurality of EEG signals by segmenting the plurality of EEG signals for each channel into a plurality of temporal data segments, extracting a plurality of features from each temporal data segment for each channel, and applying a machine learning algorithm to the plurality of features to perform a seizure binary classification for each temporal data segment for each channel. A control policy may be employed to determine a seizure burden on the aggregated seizure binary classifications. When the seizure burden is equal to or exceeds a threshold, a notification may be generated. The notification may be usable by a healthcare practitioner to assess whether the subject may be at risk of having a seizure.

Methods, systems, and apparatus for determining probabilistic measures of seizure activity (PMSA) values based on a plurality of seizure detection algorithms and/or body signals used as inputs by the seizure detection algorithms. Use of the PMSA values to detect seizure activity based on a consensus of the algorithms and/or body signals, and/or warn, log, administer a therapy, or assess the efficacy of a therapy.

A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for de-correlating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.

An elongated device adapted for insertion, including self-insertion, through the body, especially the skull is disclosed. The device has at least one effector or sensor and is configured to permit implantation of multiple functional components through a single entry site into the skull by directing the components at different angles. The device may be used to provide electrical, magnetic, and other stimulation therapy to a patient's brain. The lengths of the effectors, sensors, and other components may completely traverse skull thickness (at a diagonal angle) to barely protrude through to the brain's cortex. The components may directly contact the brain's cortex, but from there their signals can be directed to targets deeper within the brain. Effector lengths are directly proportional to their battery size and ability to store charge. Therefore, longer angled electrode effectors not limited by skull thickness permit longer-lasting batteries which expand treatment options.

Techniques for detecting epileptic triggers in video content by storing a first sequence of frames of a video stream in a first buffer. The technique can further comprise generating a second sequence of subframes and storing the second sequence of subframes in a second buffer. The technique can further comprise generating average intensity values for the second sequence of subframes in the second buffer and calculating intensity changes between consecutive subframes in the second sequence of subframes based on the average intensity values. The technique can further comprise determining that a number of intensity changes between consecutive subframes in the second sequence of subframes exceeds an oscillation threshold and tagging the frames in the first buffer corresponding to the subframes in the second buffer as hazardous.

Systems and methods are described for detecting and characterizing seizures or seizure-related events. The methods herein may include determining magnitude and/or scaled magnitude data for each of at least one high and low frequency group of signals. Based on the determined magnitudes and/or scaled magnitude data, seizures or seizure-related events may be characterized.

A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for de-correlating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.