An easily manageable device and a method used as an early warning system would be desirable. The device should be usable at virtually any location and operable with little proficiency, and it should be sterilizable, resource-saving and inexpensive. This is achieved by the following: an attachment for the head of a person, the attachment coupled to a first control unit (T) and comprising electrodes (E.sub.1 to E.sub.4) for receiving cerebral electrical activity or brain potentials, wherein the electrodes lead to the first control unit (T). The first control unit (T) has a microprocessor which is capable of recording signals from the electrodes (E.sub.1 to E.sub.4) in a time-related manner via an analog-to-digital converter. The first control unit (T) is coupled to or actuates an actuator element (A.sub.1), which is capable of releasing (LDZ.sub.1) a fragrance in pulses as a stimulus in a flow from at least one pressurized cartridge (K.sub.1). The signals of the electrodes (E.sub.1 to E.sub.4) have an EEG signal level in order to record (FIG. 5, FIG. 6) a group of chemosensorically-evoked potentials or at least the chemosensorically-influenced temporal sections thereof in a time-related manner and to analyze them - preferably not on the human head.

Systems, processes and devices for real-time brain monitoring to generate and control an interface of a display device with a visual representation of a Brain Value Index for entropy, a connectivity map and treatment guidance. Systems, processes and devices for real-time brain monitoring capture sensor data, process the data and dynamically update the interface in real-time.

Systems, processes and devices for real-time brain monitoring to generate and control an interface of a display device with a visual representation of a Brain Value Index for entropy, a connectivity map and treatment guidance. Systems, processes and devices for real-time brain monitoring capture sensor data, process the data and dynamically update the interface in real-time.

The invention relates to a method for providing data for an interface, wherein the interface is configured for computer-implemented health monitoring by means of at least one electronic apparatus integrated in a hearing aid, to a data processing system comprising means for carrying out the method, and to a computer program and a computer-readable storage medium comprising instructions for carrying out the method.

The invention relates to a method for providing data for an interface, wherein the interface is configured for computer-implemented health monitoring by means of at least one electronic apparatus integrated in a hearing aid, to a data processing system comprising means for carrying out the method, and to a computer program and a computer-readable storage medium comprising instructions for carrying out the method.

An explainable artificial intelligence system includes a processor that visualizes and provides a diagnosed result, a decision-making structure which is description information for describing a basis for the diagnosis, a description of at least one second brain wave feature, and an importance of the at least one second brain wave feature.

An explainable artificial intelligence system includes a processor that visualizes and provides a diagnosed result, a decision-making structure which is description information for describing a basis for the diagnosis, a description of at least one second brain wave feature, and an importance of the at least one second brain wave feature.

In accordance with one aspect of the disclosure, a method for estimating at least one oscillatory component of a patient brain state is provided. The method includes receiving electroencephalogram (BEG) data, fitting a space state model to the EEG data, the state space model comprising at least one oscillatory component, estimating at least one value of cross-frequency coupling of the EEG data based on the state space model, generating a report based on the at least one value of cross-frequency coupling, and outputting the report to at least one of a display and a memory.

In accordance with one aspect of the disclosure, a method for estimating at least one oscillatory component of a patient brain state is provided. The method includes receiving electroencephalogram (BEG) data, fitting a space state model to the EEG data, the state space model comprising at least one oscillatory component, estimating at least one value of cross-frequency coupling of the EEG data based on the state space model, generating a report based on the at least one value of cross-frequency coupling, and outputting the report to at least one of a display and a memory.

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.