Dual closed-loop brain-machine interface system and method thereof

Dual Closed-Loop Brain-Machine Interface Combining Motor Intent Decoding and Somatosensory Brain Stimulation

This technology is a dual closed-loop brain-machine interface (BMI) system and method that decodes a user's motor intent brain signals to control external devices, while simultaneously detecting the device's operational status to provide somatosensory feedback via brain stimulation patterns back to the user.

Existing brain-machine interfaces often suffer from limited control performance due to a lack of somatosensory feedback during motor execution or the inability of simple stimulation to restore actual feedback mechanisms between brain regions.

This technology generates external device control signals based on motor intent brain signals, acquires somatosensory-evoked brain stimulation patterns corresponding to the device's operational status, and utilizes stimulation frequency and timing information to calibrate patterns in real-time, thereby improving control performance through a dual feedback loop. It can be applied to prosthetic limb control, neurorehabilitation, and the treatment of brain disorders, significantly enhancing the control accuracy and user immersion of existing BMIs by restoring sensory feedback.

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Key Features:

• Analyzing user motor intent brain signals to generate movement information based on intent
• Generating control signals for an external device that replaces a body part in response to movement information
• Acquiring and analyzing sensory signals corresponding to the operational status of the external device to generate brain stimulation patterns
• Delivering brain stimulation patterns to the user that correspond to preset somatosensory information for each operational state

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This invention was developed with support from the Ministry of Science and ICT for the development of an invasive upper-limb motor control brain-machine interface integrating motor control and sensory information based on human somatosensory feedback.