Data Flow / System Ingestion — one monitored patient flowing from sensors into model input
A single patient or monitored resource generates continuous physiological or operational signals.
EEG, ECG, EMG, vitals, device telemetry, and external context streams are captured.
Signals are normalized, timestamped, validated, and prepared for downstream processing.
Events are buffered for reliable delivery, even when edge or network connectivity is degraded.
Edge modules handle real-time inference while cloud services support training, storage, and orchestration.
Cleaned and synchronized streams enter the adaptive model and Quantum Core orchestration layer.
Demo note: This is a visual simulation only. It does not expose the proprietary Quantum Core algorithms, optimization methods, or internal IP. The purpose is to show a tangible end-to-end ingestion flow: monitored source → data streams → ingestion → queue → cloud/edge processing → model input.