Dual Closed-Loop Brain-Machine Interface System and Method Thereof

This technology is a dual closed-loop brain-machine interface system and method that interprets a user's motor intention brain signals to control external devices, detects the device's operational status, and delivers somatosensory feedback in the form of brain stimulation patterns back to the user.

Existing brain-machine interfaces have faced limitations in control performance due to a lack of somatosensory feedback during motor command execution or the inability of simple stimulation to restore effective feedback mechanisms between brain regions.

This technology proposes a method that generates external device control signals based on motor intention brain signals, acquires somatosensory-evoking brain stimulation patterns according to the device's operational status, and calibrates these stimulation patterns in real-time using frequency and timing information. This dual feedback loop enhances control performance. It can be applied to prosthetic limb control, neurorehabilitation, and the treatment of brain disorders, significantly improving the control accuracy and user immersion of existing brain-machine interfaces by restoring sensory feedback.

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Key Features:

• Configuration for interpreting a user's motor intention brain signals to generate external device control signals
• Configuration for detecting the operational status of external devices via sensor signals
• Configuration for acquiring and delivering somatosensory-evoking brain stimulation patterns to the user based on operational status
• Dual feedback loop that calibrates brain stimulation patterns in real-time using trigger information, such as stimulation frequency and timing