Continuous Bedside Sepsis Prediction via Edge Multimodal Data Fusion

Core clinical engineering and protocols for Edge Sepsis Prediction.

The Critical Time Window in Septic Shock

Sepsis mortality increases by approximately 7.6% for every hour of delay in antibiotic administration. However, early subtle signs of autonomic instability often go unnoticed during intermittent manual nursing checks.

Edge-Based Autonomic Biomarker Tracking

SmartIoMT computes continuous heart rate fragmentation and respiratory variance metrics directly on the bedside gateway. The edge neural network identifies subtle hemodynamic decoupling signatures indicative of early sepsis up to four hours prior to overt septic collapse.

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