An electroencephalogram signal processing apparatus includes an interface and one or more processors. The interface receives, from each of a plurality of electrodes attached to a head of a subject, an electroencephalogram signal corresponding to a change over time in a brain activity potential of the subject. The processor obtains a value of an electroencephalogram parameter for each of the plurality of electrodes by processing the electroencephalogram signal, and the processor outputs data for plotting the value on a radar chart. A plurality of regions to each of which at least one electrode is attached are set in the head. Each of a plurality of coordinate axes provided in the radar chart is associated with a corresponding one of the plurality of regions.

Examples described herein may predict therapy efficacy and/or therapeutic parameters using a comparison of individual patient status data and brain network response maps for the therapy. For example, VNS parameters may be predicted using a comparison of patient EEG data and brain network response maps of VNS therapy at various parameters.

Examples described herein may predict therapy efficacy and/or therapeutic parameters using a comparison of individual patient status data and brain network response maps for the therapy. For example, VNS parameters may be predicted using a comparison of patient EEG data and brain network response maps of VNS therapy at various parameters.

An information processing apparatus includes an extraction unit, a determination unit, a display control unit, and a display unit. The extraction unit is configured to extract, by predetermined pattern matching, candidate peaks in a certain arbitrary period of time from among at least one or more pieces of waveform data. The determination unit is configured to determine, from among the candidate peaks of the waveform data, a single peak based on a score related to the pattern matching. The display control unit is configured to output display information for displaying a position of the peak. The display unit is configured to display the display information.

A method for functional brain mapping using high gamma modulation obtained from stereoelectroencephalography (SEEG).

An information processing apparatus includes a storage that stores analysis method information indicating an analysis method of brain waves of a user and notification method information indicating a method for notifying a state of brain waves in association with each of a plurality of user states indicating a symptom or ability of the user, a selection part that selects an improvement target state that is a user state that is to be improved by a target user, an acquisition part that acquires brain wave information of the target user, a state identification part that identifies a state of brain waves indicated by the brain wave information according to an analysis method associated with the selected improvement target state, and a notification part that notifies the target user of the state of the brain waves on the basis of the notification method associated with the selected improvement target state.

A device for determining a physiological or psychological state of a mammal is disclosed. The device has at least one earpiece with a main body having a body of revolution with an axis of revolution, and an endpiece configured to be inserted into an ear canal. The endpiece has a cylindrical channel intended to receive a body of revolution for detachably mounting the endpiece on the main body, the endpiece being arranged to be movable in rotation about the axis of revolution in order to allow at least one electrode to be oriented toward a zone of the brain of the mammal, and the endpiece having a plurality of electrodes arranged on an outer surface of the endpiece, each electrode being configured to pick up an electrical signal in the ear canal of the mammal.

A device for determining a physiological or psychological state of a mammal is disclosed. The device has at least one earpiece with a main body having a body of revolution with an axis of revolution, and an endpiece configured to be inserted into an ear canal. The endpiece has a cylindrical channel intended to receive a body of revolution for detachably mounting the endpiece on the main body, the endpiece being arranged to be movable in rotation about the axis of revolution in order to allow at least one electrode to be oriented toward a zone of the brain of the mammal, and the endpiece having a plurality of electrodes arranged on an outer surface of the endpiece, each electrode being configured to pick up an electrical signal in the ear canal of the mammal.

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.

Methods and systems for improved removal of deep brain stimulation artifacts from electrical measurements of brain activity. In one embodiment, a method is provided that includes: receiving, by a computing device having a processor, waveform data caused by a deep brain stimulation of a patient-specific area of interest; determining, by the computing device, a stimulation period relative to a sampling rate; identifying, by the computing device and based on the waveform data and the stimulation period, a stimulation artifact; subtracting, by the computing device, the identified stimulation artifact from the received waveform data; and generating, in real-time, a filtered waveform data indicating an absence of the stimulation artifact.