Provided herein are methods to predict pain sensitivity and pain intensity to prolonged pain in a subject. Electroencephalograms are recorded in a pain-free state or, alternatively, in a pain-free state and after applying a prolonged pain stimulus in a prolonged pain state. Pain-free and prolonged pain peak alpha frequencies or ΔPAF are measured. These values correlate negatively with the likelihood of increased pain sensitivity and increased pain intensity. Also provided is a method for predicting a likelihood of chronic pain in a subject after a medical procedure and designing a plan to treat the chronic pain.

A method for functional analysis of neurophysiological data by decomposing neurophysiological data and EEG signal to form a plurality of signal features. The signal features may then optionally be analyzed to determined one or more patterns.

The present invention relates to a system and method for pupil tracking and eye-markers extracting using an image acquisition device such as a visible-light camera shooting a non-static head. In an embodiment of the present invention eye-markers are extracted from one eye or from both eyes. The extraction from both eyes uses for averaging the results of the two eyes when abnormalities are detected in one of the eyes. In addition, the invention relates to a computerized application, which interacts with a user (for example trough a game or movie, usually in a context of biofeedback), and takes video shooting of the users face and eyes during said interaction.

The present invention relates to a system and method for pupil tracking and eye-markers extracting using an image acquisition device such as a visible-light camera shooting a non-static head. In an embodiment of the present invention eye-markers are extracted from one eye or from both eyes. The extraction from both eyes uses for averaging the results of the two eyes when abnormalities are detected in one of the eyes. In addition, the invention relates to a computerized application, which interacts with a user (for example trough a game or movie, usually in a context of biofeedback), and takes video shooting of the users face and eyes during said interaction.

A method and an apparatus for generating a brain break alert is provided. The method includes receiving electroencephalographic (EEG) data of a patient engaged in a cognitive activity at a system server from a user device. The EEG data is captured by electrode of an EEG headset, where the electrode is in physical contact with the patient, and the EEG headset is communicably coupled to the user device. Brain energy used (BEU) by the patient is determined based on the EEG data, brain energy available (BEA) to the patient is determined as a function of the BEU and a predefined initial brain energy (BEI) of the patient, where the BEA is proportional to a difference between the BEI and the BEU, and the BEA satisfying a brain break alert threshold is determined, upon which an instruction to generate a brain break alert (BBA) is sent to the user device.

A method and an apparatus for generating a brain break alert is provided. The method includes receiving electroencephalographic (EEG) data of a patient engaged in a cognitive activity at a system server from a user device. The EEG data is captured by electrode of an EEG headset, where the electrode is in physical contact with the patient, and the EEG headset is communicably coupled to the user device. Brain energy used (BEU) by the patient is determined based on the EEG data, brain energy available (BEA) to the patient is determined as a function of the BEU and a predefined initial brain energy (BEI) of the patient, where the BEA is proportional to a difference between the BEI and the BEU, and the BEA satisfying a brain break alert threshold is determined, upon which an instruction to generate a brain break alert (BBA) is sent to the user device.

The present invention relates to an apparatus for the treatment of an epilepsy-associated disorder in a living being and to a method for the treatment of an epilepsy-associated disorder in a living being.

The present invention relates to an apparatus for the treatment of an epilepsy-associated disorder in a living being and to a method for the treatment of an epilepsy-associated disorder in a living being.

Systems and methods of the present disclosure are directed to neural stimulation via audio and visual stimulations. The combination and/or sequence of audio and visual brain stimulations can adjust, control or otherwise manage the frequency of the neural oscillations to provide beneficial effects to one or more cognitive states or cognitive functions of the brain, while mitigating or preventing adverse consequences on a cognitive state or cognitive function that stems from sleep deprivation. In doing so, the present systems and methods can reduce sleep fragmentation, improve sleep quality, and slow the progression of cognitive decline in a subject with Alzheimer's disease and MCI.

A cognitive signal generation unit of a cognitive ability detection device includes a brain signal acquisition unit, a database, an MRCP correction data selection unit, and a calculation unit. The brain signal acquisition unit acquires a brain signal including an event-related potential. The database stores motor readiness potential correction data corresponding to an operation of a subject. The MRCP correction data selection unit selects the motor readiness potential correction data, on the basis of prior information including the type of an action, and outputs the motor readiness potential correction data to the calculation unit. The calculation unit generates the cognitive signal by correcting the brain signal with the motor readiness potential correction data.