SYSTEMS AND METHODS FOR SEIZURE DETECTION WITH A STATISTICAL ANALYSIS AND AN ARTIFICIAL INTELLIGENCE ANALYSIS

    公开(公告)号:US20220071550A1

    公开(公告)日:2022-03-10

    申请号:US17468109

    申请日:2021-09-07

    发明人: Kurt E. Hecox

    摘要: A seizure detection system including one or more circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient. The one or more circuits are configured to identify candidate seizures with a statistical analysis that identifies the candidate seizures based on changes in non-linear features of the EEG signal, determine to switch from identifying the candidate seizures with the statistical analysis to an artificial intelligence model, and switch from identifying the candidate seizures with the statistical analysis to identifying the candidate seizures based on the artificial intelligence model with the EEG signal.

    SYSTEMS AND METHODS FOR SEIZURE DETECTION BASED ON CHANGES IN ELECTROENCEPHALOGRAM (EEG) NON-LINEARITIES

    公开(公告)号:US20210330243A1

    公开(公告)日:2021-10-28

    申请号:US17366854

    申请日:2021-07-02

    发明人: Kurt E. Hecox

    摘要: A seizure detection system including one or more circuits, the one or more circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient and determine different types of metrics based on the EEG signal, the different types of metrics indicating non-linear features of the EEG signal. The one or more circuits are configured to determine whether one or more of the different types of metrics exhibit changes over time that meet a predefined level of statistical significance, generate a user interface, the user interface including a real-time trend of the EEG signal and the one or more of the different types of metrics, and cause a user interface device to display the user interface.

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

    公开(公告)号:US11083409B2

    公开(公告)日:2021-08-10

    申请号:US16938501

    申请日:2020-07-24

    发明人: Kurt E. Hecox

    摘要: A seizure detection system including one or more circuits, the one or more circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient. The one or more circuits are configured to determine metrics based on the EEG signal, the metrics indicating non-linear features of the EEG signal, determine that the EEG signal indicates a candidate seizure by determining, based at least in part on the metrics, a change in the non-linear features of the EEG signal over time, and generate a seizure alert indicating that the EEG signal indicates the candidate seizure. The change in the non-linear features indicates a physiological force that gives rise to the candidate seizure.

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

    公开(公告)号:US11076799B2

    公开(公告)日:2021-08-03

    申请号:US16938541

    申请日:2020-07-24

    发明人: Kurt E. Hecox

    摘要: A seizure detection system including one or more circuits, the one or more circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient. The one or more circuits are configured to determine metrics based on the EEG signal, the metrics indicating non-linear features of the EEG signal, determine that the EEG signal indicates a candidate seizure by determining, based at least in part on the metrics, a change in the non-linear features of the EEG signal over time, and generate a seizure alert indicating that the EEG signal indicates the candidate seizure. The change in the non-linear features indicates a physiological force that gives rise to the candidate seizure.