Autonomous Medical Safety for Unwitnessed Collapse

A clinician-prescribed, physiology-gated implantable system designed to initiate emergency response only when catastrophic medical instability persists.

Unwitnessed Incapacitation Changes the Risk Standard

Emergency systems often assume conscious awareness, physical mobility, and the ability to activate a response. Unwitnessed collapse removes those assumptions.

In these moments, detection alone is insufficient. Escalation discipline becomes the defining design variable.

Physiology-Gated Escalation Architecture

Stage A — Event Detection
Impact or collapse pattern initiates evaluation. Detection does not equal emergency.

Stage B — Physiologic Validation
Cardiovascular or perfusion instability is assessed during defined low-motion windows.

Stage C — Escalation
Emergency signaling occurs only if sustained instability persists beyond predefined thresholds.

The AI is intentionally constrained — it performs inference within predefined, safety-governed logic and cannot evolve or act independently in the field.

Differentiation

Consumer Safety Systems FallGuardAI
User-dependent activation Autonomous detection
Motion-triggered alerts Physiology-validated escalation
Continuous connectivity reliance Event-gated signaling
Adaptive consumer AI Constrained, safety-governed logic

Regulatory & Governance

FallGuardAI is under development and not available for commercial sale. Subject to regulatory review and approval.

Clinical Collaboration

FallGuardAI seeks collaboration across neurology, cardiology, electrophysiology, emergency medicine, and EMS disciplines.

Areas of engagement include escalation threshold review, physiologic validation parameters, and failure mode evaluation.

Contact

Clinical Inquiry — Threshold validation and deployment frameworks

Regulatory Inquiry — Institutional or agency correspondence

Engineering Collaboration — Technical architecture engagement

Strategic Partnership — Regulated ecosystem alignment

Email: info@fallguardai.com