Systems and methods for seizure detection based on changes in electroencephalogram (EEG) non linearities

A seizure detection system comprising:

• an interface configured to receive an electroencephalogram (EEG) signal from electrodes, the EEG signal being related to electrical brain activity of a patient;
• and
• a processor configured to:
• determine a plurality of different types of metrics based on the EEG signal, one type of metric of the plurality of different types of metrics being eigenvalues, the plurality of different types of metrics indicating one or more non-linear features of the EEG signal;
• determine that the eigenvalues are decreasing;
• determine that the EEG signal indicates a candidate seizure by determining that the eigenvalues are decreasing and that another one of the plurality of different types of metrics is changing in a set pattern;
• and
• cause a display of a user interface device to display a visual indicator responsive to determining that the EEG signal indicates the candidate seizure.

A seizure detection system comprising one or more circuits, the one or more circuits are configured to:

• receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient;
• determine a plurality of different types of metrics based on the EEG signal, one type of metric of the plurality of different types of metrics being eigenvalues, the plurality of different types of metrics indicating one or more non-linear features of the EEG signal;
• determine whether the eigenvalues are decreasing;
• and
• determine that the EEG signal indicates a candidate seizure by determining that the eigenvalues are decreasing and that another one of the plurality of different types of metrics is changing in a set pattern;
• and
• cause a display of a user interface device to display a visual indicator responsive to determining that the EEG signal indicates the candidate seizure.