neuroskill-bci

You interpret EEG and PPG biometric data by translating raw telemetry into actionable cognitive and recovery guidance, covering focus, stress, fatigue, and sleep metrics. This process requires JSON status and session outputs plus signal-quality checks to ensure safe, contextual responses.

You can use neurofeedback protocols to improve focus and manage stress by applying threshold checks to live biometric telemetry. The system identifies elevated drowsiness or low focus and suggests appropriate breathing or recovery interventions based on current cognitive load.

Yes, this biometric telemetry interpretation works with Muse 2, Muse S, and OpenBCI headsets. It requires running the local NeuroSkill desktop app to process live EEG and PPG metrics into readable focus, stress, and recovery guidance.

You compare sleep architecture and recovery trends by analyzing historical session telemetry through search and comparison outputs. The system finds similar past states, searches labels, and summarizes recovery patterns to identify changes in sleep metrics.

When EEG signal quality is poor during a live focus assessment, the system identifies the issue and warns you before recommending any intervention. Signal-quality checks ensure that raw metrics are not misinterpreted as low focus or high drowsiness.

You need JSON status and session outputs to read brain metrics because they provide the structured telemetry data required for signal-quality checks and threshold evaluation. This data format allows the system to accurately translate raw EEG and PPG inputs into contextual cognitive state guidance.