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New Laser-based Headset Can Measure Blood Flow, Assess Risk of Stroke
Researchers in the lab of Caltech’s Changhuei Yang, along with colleagues from the Keck School of Medicine of USC, have developed a laser-based device that can measure blood flow noninvasively and differentiate stroke risk based on current physiological conditions.
Now a team of engineers and scientists from Caltech and the Keck School of Medicine of USC has developed a headset-based device that can be used to noninvasively assess a patient's stroke risk by monitoring changes in blood flow and volume while a participant holds their breath. The researchers also plan to incorporate machine learning into the device's data collection process and to conduct a clinical trial that would involve patient tracking over more than two years to enhance the technology. Additional authors on the paper, "Correlating stroke risk with non-invasive cerebrovascular perfusion dynamics using a portable speckle contrast optical spectroscopy laser device," are Julian Michael Tyszka, associate director of the Caltech Brain Imaging Center; and Dr. Aidin Abedi, Yu Tung Lo, Patrick D. Lyden, and Dr. Jonathan Russin of the Keck School of Medicine of USC.
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