AI-Powered Emergency Detection Protocols
eMedAlert.ai uses advanced AIoT (Artificial Intelligence of Things) to monitor 16 critical health and safety hazards in real-time. Our system transforms reactive emergency response into proactive life-saving intervention.
1. Motion & Impact Hazards (Kinematic AI)
- High-Impact Fall Detection: Immediate identification of hard falls followed by unconsciousness.
- Slow-Onset Slumps: Detecting gradual posture loss associated with fainting.
- Prolonged Immobility Alerts: Monitoring for “no-movement” periods in active zones.
- Sudden Impact Trauma: Detecting external physical force or collisions.
2. Cardiovascular & Vital Distress (Biometric AI)
- Critical Tachycardia: Alerts for dangerously high resting heart rates.
- Bradycardia Events: Detection of sudden, life-threatening heart rate drops.
- Irregular Heart Rhythm (AFib): Monitoring for symptoms of atrial fibrillation.
- Acute Hypoxia: Real-time alerts when blood oxygen ($SpO_2$) drops below 90%.
3. Neurological & Metabolic Shifts (Predictive AI)
- Seizure Activity Detection: Identifying rhythmic tremors or tonic-clonic patterns.
- Hypoglycemic Shock Risk: Correlating vital shifts with potential glucose crashes.
- Severe Dehydration Alerts: Monitoring biometric trends for fluid loss indicators.
- Syncope (Fainting) Prediction: Early detection of vital drops leading to loss of consciousness.
4. Environmental & Behavioral Risks (Contextual AI)
- Dementia Wandering: Geofencing alerts if a user exits a designated safe zone.
- Missed Routine Alerts: Identification of “No-Activity” when interaction is expected.
- Vocal Distress Triggers: AI recognition of emergency keywords like “Help!”
- Thermal Stress Monitoring: Detecting extreme ambient heat or cold risks for seniors.