A NOVEL BRAIN-COMPUTER INTERFACE FRAMEWORK FOR REAL-TIME CONTROL AND COMMUNICATION USING NEURAL SIGNAL PROCESSING

Abstract: Brain-Computer Interface (BCI) technology represents a transformative advancement in neuroengineering by establishing direct communication pathways between the human brain and external devices. The primary objective of BCI systems is to acquire, process, and interpret neural signals to restore, enhance, or supplement cognitive and motor functions, particularly for individuals affected by paralysis, neurological disorders, or communication impairments. Conventional BCI systems often face significant limitations such as signal attenuation due to skull interference, thrombosis risks, thermal damage, limited long-term biocompatibility, and power inefficiencies. This paper proposes an advanced multi-stentrode adaptive vascular BCI architecture designed to address these challenges through minimally invasive intravascular implantation, enabling improved neural signal acquisition without skull obstruction. The system integrates multiple vascular stentrodes for enhanced signal accuracy, ultrasound-based wireless communication for safe data transmission, ASIC-based low-power intelligent processing for thermal regulation, and dual-layer protective coatings including heparin, PEG, graphene, and titanium for clot prevention, biocompatibility, and heat dissipation. Additionally, the framework incorporates shape-adaptive materials, dynamic drug release systems, embedded biosensors for clot and pressure monitoring, and hybrid self-powering mechanisms utilizing biochemical, piezoelectric, and ultrasound energy sources. Through the integration of adaptive biomaterials, intelligent safety systems, and real-time physiological monitoring, this design significantly improves long-term implant safety, vascular compatibility, and operational sustainability. The proposed system demonstrates the potential to revolutionize next-generation BCI applications in assistive healthcare, neuroprosthetics, rehabilitation, and advanced medical monitoring, paving the way for safer, more efficient, and clinically viable brain-computer interface technologies.

Keywords: Brain-Computer Interface (BCI), Stentrode, Neuroengineering, Minimally Invasive Neural Interface, Wireless Neural Interface, Real-Time Monitoring.