5G-Enabled Remote Neuroscience: Low-Latency Neural Data Transmission for Tele-Neurorehabilitation

Abstract:Integration of the fifth generation (5G) wireless technology in neurosciences provides a transformative solution for the boundaries of the current tele-neurorrhoea system, which rely on 3G/4G or Wi-Fi and suffer from high detailed, low bandwidth and incredible data transmission. This paper proposes 5G-enabled tele-neurorehabilitation framework-5G-Saksham-which ultra-widely low-stamped communication (URLLC), Multi-Access Edge Computing (MEC), and Network Slicing Close Lupp Takes advantage for. High-dimensional brain-computer interfaces (BCIs) and EEG data are streamflow with minimal delays, processed locally on the edge, and used to give adaptive response through the Emarsiv AR/VR environment. Performance analysis and simulated pilot study reduction in delay (<10 mS), signal fidelity (> 95%), and patient engagement show significant improvement in engagement, leading to motor recovery results and medical compliance compared to traditional approaches. Additionally, the framework addresses scalability, security, and interoperability challenges, which paves the way for patients in remote or undescribed areas, accessible to neurorablebulation of clinic-quality, accessible to patients. Our findings unlock the position, continuous, data-driven and patient-focused neurological care as an important environ for the next generation of 5G tele-neurosciences Keywords: 5G, neuroscience, tele-neurorehabilitation, brain-computer interface, edge computing, low-latency