Systems and methods for seizure detection with a statistical analysis and an artificial intelligence analysis

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

• receive an electroencephalogram signal generated based on electrical brain activity of a patient;
• identify candidate seizures with a statistical analysis;
• cause a display device to display the candidate seizures identified by the statistical analysis;
• train an artificial intelligence model to classify the candidate seizures as the candidate seizures are identified by the statistical analysis;
• determine to switch from displaying the candidate seizures identified with the statistical analysis to displaying the candidate seizures identified with the artificial intelligence model;
• and
• switch from displaying the candidate seizures identified with the statistical analysis to displaying the candidate seizures identified based on the artificial intelligence model with the electroencephalogram signal.

A method, comprising:

• receiving, by one or more processing circuits, an electroencephalogram signal generated based on electrical brain activity of a patient;
• identifying, by the one or more processing circuits, candidate seizures with a statistical analysis;
• causing, by the one or more processing circuits, a display device to display the candidate seizures identified by the statistical analysis;
• training, by the one or more processing circuits, an artificial intelligence model to classify the candidate seizures as the candidate seizures are identified by the statistical analysis;
• determining, by the one or more processing circuits, to switch from displaying the candidate seizures identified with the statistical analysis to displaying the candidate seizures identified with the artificial intelligence model;
• and
• switching, by the one or more processing circuits, from displaying the candidate seizures identified with the statistical analysis to displaying the candidate seizures identified based on the artificial intelligence model with the electroencephalogram signal.

One or more storage medium, storing instructions thereon, that, when executed by one or more processors, cause the one or more processors to:

• receive an electroencephalogram signal generated based on electrical brain activity of a patient;
• identify candidate seizures with a statistical analysis;
• cause a display device to display the candidate seizures identified by the statistical analysis;
• train an artificial intelligence model to classify the candidate seizures as the candidate seizures are identified by the statistical analysis;
• determine to switch from displaying the candidate seizures identified with the statistical analysis to displaying the candidate seizures identified with the artificial intelligence model;
• and
• switch from displaying the candidate seizures identified with the statistical analysis to displaying the candidate seizures identified based on the artificial intelligence model with the electroencephalogram signal.