Neural Frequency Stimulation for Restoring Sensory Feedback in Prosthetic Limbs Using Adaptive AI Control

Amputees often face difficulties in achieving natural control and sensory connection with their prosthetic limbs due to the absence of real tactile feedback. This study presents an adaptive neural frequency stimulation system designed to restore sensory perception by activating the somatosensory cortex through controlled electrical impulses. Specific stimulation frequencies are delivered via implanted or surface electrodes to reproduce realistic sensations. An artificial intelligence algorithm dynamically adjusts these frequencies based on real-time neural responses, forming a closed-loop brain-machine interface. Simulation results indicate that the proposed system can enhance the realism and stability of artificial sensations, improve motor coordination, and reduce phantom limb pain. The research contributes to the development of intelligent and human-centered prosthetic technologies that seamlessly integrate with the brain's sensory processing mechanisms.

کلیدواژه ها:

Neural frequency stimulation ، brain-machine interface ، sensory feedback ، adaptive AI control ، prosthetic limb ، somatosensory cortex