HUG clinical pilots · edge-AI analysis · Bluetooth integration with a medical device
Context
Pneumoscope combines a digital stethoscope, mobile app, and analysis algorithms to help medical teams capture and interpret respiratory sounds.
The core challenge: connect a Bluetooth device, keep the clinical experience simple, and run AI processing directly on the smartphone.
What we built
- Mobile app connected to the stethoscope through Bluetooth BLE.
- Audio capture workflow adapted to a clinical context.
- Embedded AI integration for real-time analysis.
- Robust mobile architecture for an experimental medical device.
Why this project matters
| Angle | Value |
|---|---|
| Swiss health | HUG, Onescope, EPFL reference. |
| Rare expertise | Bluetooth, edge AI, medical mobile. |
| Audience | PIs, hospital innovation teams, medtech startups. |
Public outcomes
- Connected a Bluetooth stethoscope workflow to a clinical mobile app.
- Integrated on-device AI analysis into an experimental medical device journey.
- Created a mobile foundation designed for hospital innovation and medtech iteration.
Delivery approach
- Kept device connection, audio capture, and AI processing inside a simple clinical mobile flow.
- Prioritized robust BLE handling and clear feedback for users working with a medical device.
- Built the product so research and clinical teams could iterate without weakening the mobile foundation.
