Performance Analysis of Neuralink’s Brain Chip Biocompatible Threads in Signal Acquisition: Efficacy in Motor Function Rehabilitation for Tetraplegic Patients, Era of Brain-Machine Interfaces
DOI:
https://doi.org/10.64474/3139-1559.Vol2.Issue1.8Keywords:
Brain–Machine Interface (BMI), Neuralink, Tetraplegia, Neural Signal Acquisition, Neural Decoding, Neuroprosthetics, Bio-Compatible Neural Threads, Motor RehabilitationAbstract
Brain–Machine Interfaces (BMIs) are cutting-edge neuroengineering technologies for direct communication between the human brain and external computational systems in the field of rehabilitation and assistive technologies. The present study measured the performance of the bio-compatible neural threads of Neuralink for signal capture and motor rehabilitation in patients with tetraplegia (four limbs paralysis) from published clinical and technical data secondary to the study between 2019-2025. The analysis was based on the efficiency of neural signal acquisition, implant stability, tissue compatibility, neural decoding accuracy, and the outcomes of rehabilitation. The results showed that the signal quality, neural connectivity preservation and motor rehabilitation efficacy were significantly better than those of traditional BMI systems. The neural stability, biocompatibility and the rehabilitation success demonstrated a strong relationship, which was confirmed by statistical analysis. The study also demonstrated the potential for enhancing brain-to-device communication and neuroprosthetic control with the use of AI-driven neural decoding. These results indicate that the Neuralink invasive BMI architecture could greatly help to restore motor function and enhance the rehabilitation of tetraplegic patients.
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