Human-Machine Interaction
Paralyzed patient finds voice after 20 years… AI decodes brain signals in real time [Korean]

Paralyzed patient finds voice after 20 years… AI decodes brain signals in real time [Korean]

Source: Economy Chosun | Author: Not Specified | Read the full article in Korean

In a groundbreaking medical breakthrough, researchers have developed an innovative technology that helps severely disabled patients communicate using brain-computer interfaces. The research focused on a woman who had been unable to speak for 20 years due to a stroke that left her paralyzed and without the ability to communicate verbally.

Scientists from the University of California at San Francisco and UC Berkeley collaborated to create a sophisticated system that can decode brain signals in real-time and convert them into speech. By implanting a special device directly into the patient's brain, they were able to interpret her thoughts and transform them into audible words almost instantaneously. This represents a significant advancement over previous technologies that required a noticeable delay between thought and speech generation.

The implications of this research are profound, offering hope to individuals with severe communication disabilities caused by conditions like stroke, paralysis, or language disorders. By bridging the gap between brain activity and verbal expression, this technology could help patients reconnect with their families, express their needs, and regain a sense of independence. The study, published in a prestigious neuroscience journal, marks a remarkable step forward in understanding how artificial intelligence can be used to support human communication.

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