How does the new exoskeleton translate brain signals into movement?

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The Exoskeleton Translates Brain Signals Through a Decoding Algorithm and Electrode Implants

A pioneering robotic exoskeleton allows a tetraplegic patient to walk again by translating his brain signals into movement. This system relies on sensors implanted near the brain that transmit signals to the exoskeleton, which then moves the patient's legs and arms. The process involves recording brain activity, decoding it into intended movements, and then commanding the robotic suit.
Brain Signals Captured by Implanted Electrodes

Two recording devices were surgically placed on either side of the patient's head, positioned between the brain and the skin. These devices covered the areas of the brain responsible for motor function and sensation. Each recorder was equipped with 64 electrodes, designed to capture brain signals.
Decoding Algorithm Translates Thoughts into Commands

The captured brain signals were transmitted to a sophisticated decoding algorithm. This algorithm's function was to interpret the electrical activity from the brain and translate these neural patterns into specific movement commands. These commands were then sent to the exoskeleton, enabling the patient's intended actions.
Extensive Training Enhanced Movement Capabilities

Over a period of 24 months, the patient engaged in a rigorous training regimen. This involved performing various mental tasks, which served to train the decoding algorithm. Through this continuous process, the algorithm learned to better understand the patient's thoughts, and the patient was progressively able to control an increasing number of movements with the exoskeleton.

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How does the new exoskeleton translate brain signals into movement?

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