A revolutionary 15-second concussion screening application using otoacoustic emissions measured through consumer wireless earbuds.
EarEcho provides rapid, objective brain injury assessment through a simple audio test that measures inner ear responses. The system delivers immediate traffic light results (Green/Yellow/Red) for sideline screening.
- 15-Second Test: Quick objective measurement vs traditional 15-minute subjective tests
- Consumer Hardware: Uses standard wireless earbuds with built-in microphones
- Traffic Light Results: Clear Green/Yellow/Red risk assessment
- Player Management: Optional athlete tracking and baseline comparison
- Data Analytics: Test history and trend analysis
Based on peer-reviewed research from Nature Biomedical Engineering demonstrating that consumer earbuds can achieve medical-grade otoacoustic emission measurement accuracy.
This is a proof-of-concept demonstration that simulates the otoacoustic emission measurement process. Full implementation would require:
- WebRTC audio capture from earbud microphones
- Real-time signal processing and FFT analysis
- Calibrated clinical thresholds
- Install dependencies:
pip install streamlit numpy pandas scipy plotly sqlalchemy- Run the application:
streamlit run app.py --server.port 5000- Nature Biomedical Engineering study on consumer earbud capabilities
- Otoacoustic emission changes in traumatic brain injury
- $50 solution vs $5000 traditional equipment
Proof of concept for educational and research purposes.