Communications of the ACM
Smart Helmet Rapidly Assesses Stroke Patients
A new smart helmet, designed by researchers at Italy's University of Genoa (UniGe), can detect and diagnose stroke using electromagnetic (EM) waves and a signal-processing algorithm. The helmet can not only confirm the presence of stroke, but also categorize it as either ischemic or hemorrhagic.
The device consists of antennas that are selectively activated to direct EM waves throughout the brain, and the returning signals are quantified. The signal-processing algorithm notifies health professionals of stroke occurrence, after which a more sophisticated algorithm can define stroke type, size, and position.
"With the signal-processing approach, the overall accuracy is above 80%, which represents an interesting and an encouraging starting point," said UniGe's Alessandro Fedeli.
From IEEE Spectrum
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