DoC-Informer: Automated Discrimination of Disorders of Consciousness under Adaptive EEG Settings

Key Points

• To develop an automated framework for diagnosing disorders of consciousness by utilizing adaptive EEG settings.
• Integrated anatomical priors with adaptive deep learning techniques.
• Utilized varying EEG configurations to enhance practicality in clinical settings.
• Provided a framework capable of handling sparse or incomplete EEG recordings.
• Demonstrated resilience to variable EEG electrode configurations.
• Showed efficacy in accurately discriminating disorders of consciousness.