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Tuesday, August 31, 2021

Smart Helmet Assesses Strokes

Analysis that leads to treatment. 

New Smart Helmet Rapidly Assesses Stroke Patients It uses EM waves to distinguish the size, position, and type of stroke  

When someone experiences a stroke, every passing moment leading up to treatment is critical. Ideally, patients should be diagnosed and treated within the first hour, often referred to as "the Golden Hour," in order to have the best chance at recovery. Given such a tight timeline, numerous research teams have been developing portable smart helmets for diagnosing stroke in patients as they are being transported to the hospital, rather than waiting until the patient arrives at the hospital to begin testing.

Many of the smart helmet designs being explored rely on ultrasound to image the brain and detect stroke; however, this approach has several downfalls. "Ultrasound usually requires skilled personnel in order to correctly interpret the resulting images," explains Alessandro Fedeli is an assistant professor in the Department of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture, at the University of Genoa. He also notes that ultrasound doesn't penetrate the skull as well as, say, electromagnetic (EM) waves.

For these reasons, his team sought to create a smart helmet that relies on EM waves, along with a signal-processing approach, to detect and diagnose stroke.  .... ' 

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