Ultra-low-power neuromorphic compute, purpose-built for pre-hospital care.
Synetra's signal analysis runs on purpose-built neuromorphic hardware — not a generic embedded GPU — so inference stays at the patient at milliwatt scale, fully offline. Everything below is a concept description subject to development, validation and regulatory processes.
A layered concept — not a black box.
Architecture concept — subject to change through development, validation and regulatory processes.
Accuracy preserved when deployed on-chip.
Across three physiological signals validated on real clinical datasets, deploying the trained model onto the target neuromorphic chip (simulated) preserved accuracy — it does not cost you the model's performance to run it at milliwatt scale.
ECG analog front-end via SPI · PPG via I²C · MEMS microphone via I²S · capnography via UART
Acquire → window → preprocess / encode → feed Akida → fuse across modalities
Quantized-CNN inference on the target neuromorphic chip — milliwatt-scale, fully offline
Software + Akida-simulator validation, three real modalities.
Sensor-integrated prototype on an off-the-shelf Akida board — no custom silicon or PCB on the critical path.
Sub-milliwatt field device (Akida Pico); power validated on a cloud FPGA.
Every feature, grouped by MARCH.
Massive Hemorrhage
Synetra is designed to surface physiological changes associated with occult / compensated hemorrhage before heart rate or blood pressure visibly move — the window most commonly missed in current pre-hospital monitoring.
- Pulse-wave morphology
- Autonomic tone shifts
- Multimodal fusion
- Trend-first display
Airway
When a connection is available, the system can support real-time data transmission. When connectivity is interrupted, local operation and storage preserve the patient record until information can be transferred securely.
- Rural EMS
- Disaster response
- Military medicine
- Remote regions
- Areas with inconsistent connectivity
Respiration
The system is being developed as a central hub for compatible diagnostic tools, reducing the need to operate multiple isolated devices and interfaces.
- Portable ultrasound
- Digital stethoscope
- Future portable diagnostic modules
Circulation
Synetra continuously monitors and displays key physiological measurements while placing greater emphasis on how they change over time.
- 2-lead ECG
- Blood pressure
- Heart rate
- Oxygen saturation
- Pulse wave
Synetra analyses incoming physiological information and highlights potentially important changes that may warrant renewed clinical attention.
- Rapid blood-pressure decline
- Worsening oxygen saturation
- Rising heart-rate trend
- Abnormal ECG changes
- Increasing physiological instability
Signal analysis runs on ultra-low-power, purpose-built neuromorphic hardware — not a generic embedded GPU — so inference stays at the patient at milliwatt scale, fully offline.
- BrainChip Akida
- Quantized-CNN inference
- Milliwatt-scale power
- Fully offline
Hypothermia / Head
Synetra is intended to create a structured, time-stamped patient timeline that can be transferred rapidly during handover.
- Vital-sign trends
- Timestamped clinical events
- ECG recordings
- Interventions performed
- Clinical alerts
- Future ultrasound images
What exists in the current concept — and what's planned.
- Core physiological monitoring
- Trend visualisation
- Intelligent early-warning logic
- Offline data storage
- Patient timeline
- NFC-based handover concept
- Unified interface
- Portable ultrasound integration
- Digital stethoscope integration
- Remote data transmission
- Additional diagnostic modules
- Receiving-hospital interfaces
- Thermal imaging
- Respiratory audio
- Broader interoperability
- Expanded multimodal analysis
What Synetra is — and what it isn't.
- A portable, ruggedised monitoring platform
- A central hub for connected diagnostics
- A structured patient timeline for handover
- An early-warning support tool for clinicians
- An autonomous diagnostic system
- A replacement for clinician judgement
- A cloud-dependent service
- A single-purpose disease detector