Methods of analysis to extract and assess brain data collected from subject animals, including humans, to detect intentional and unintentional brain activity and other unexpected signals are disclosed. These signals are correlated to higher cognitive brain functions or unintended, potentially adverse events, such as a stroke or seizure, and to translation of those signals into defined trigger events or tasks.

A method of measuring signals from a surface. The method comprises: placing on the surface a flexible sensing device having an array of coated electrodes, wherein at least one electrode of the array is metallic and is at least partially coated by a polymer; and collecting signals from the sensing device.

A method of measuring signals from a surface. The method comprises: placing on the surface a flexible sensing device having an array of coated electrodes, wherein at least one electrode of the array is metallic and is at least partially coated by a polymer; and collecting signals from the sensing device.

Methods for the diagnosis, prognosis, patient stratification and prediction of pharmacological response in patients afflicted by psychiatric disorders based on electroretinography (ERG) parameters are described.

Methods for the diagnosis, prognosis, patient stratification and prediction of pharmacological response in patients afflicted by psychiatric disorders based on electroretinography (ERG) parameters are described.

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.

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.

The present invention is for a method and system for pain classification and monitoring optionally in a subject that is an awake, semi-awake or sedated.

The present invention is for a method and system for pain classification and monitoring optionally in a subject that is an awake, semi-awake or sedated.

A three-dimensional display device for displaying a three-dimensional image, including: a gaze point obtaining unit which obtains a position of a gaze point of a viewer; a fusional area determination unit which determines a fusional area where binocular fusion is allowed, based on the obtained position of the gaze point; a correction unit which corrects the three-dimensional image so as to suppress display of an object that is included in the three-dimensional image outside the fusional area; and a display unit which displays the corrected three-dimensional image.