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AI-based ‘digital bridge’ enables paraplegic patient to walk

Neurotechnology restores natural gait with device that decodes brain’s signals for people with spinal injuries
Gerd-Jan, the first patient fitted with the ‘digital bridge’, in the laboratory in Lausanne, Switzerland

A “digital bridge” that uses artificial intelligence to decode brain signals has enabled a paraplegic patient to walk just by thinking about moving his legs, boosting hopes that the neurotechnology could eventually help millions of people overcome disabilities.

Swiss researchers implanted an electronic device in the patient’s skull on top of the region of the brain responsible for controlling leg movements. Using algorithms based on adaptive AI methods, “movement intentions are decoded in real time from brain recordings”, said Guillaume Charvet, head of brain-computer interface research at French public research body CEA.

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