New Laser Headset Accurately Assesses Stroke Risk Noninvasively
Developed by Caltech and USC, the device measures brain blood flow changes during a breath-holding test to predict stroke risk.
- The laser-based headset uses speckle contrast optical spectroscopy (SCOS) to monitor blood flow and volume changes in the brain.
- In a study of 50 participants, the device distinguished between high and low stroke risk groups based on blood flow responses to holding their breath.
- The technology offers a portable, affordable, and non-invasive method for real-time stroke risk assessment.
- Researchers plan to enhance the device with machine learning and conduct long-term clinical trials to validate its effectiveness.
- This innovation could make stroke risk assessment as routine as cardiac stress tests, potentially revolutionizing preventive care.