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Caltech's laser headset becomes 1st-ever device to predict stroke noninvasively
The device uses a laser-based system and has shown promising results in distinguishing between individuals with low and high stroke risk.
A team of engineers and scientists from Caltech and the Keck School of Medicine at USC has created a noninvasive, headset-based device that can assess a patient’s stroke risk by monitoring blood flow and volume changes during a breath-holding test. “With this device, for the first time, we are going to have a way of knowing if the risk of someone having a stroke in the future is significant or not based on a physiological measurement,” says Simon Mahler, a co-lead author of the study. The Caltech team has developed a compact, wearable device that uses infrared laser light to assess brain blood flow through a technique called speckle contrast optical spectroscopy (SCOS).
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