Control System of Medical Robot Based on BCI and High-speed Communication

Abstract

This article examines the utilisation and integration of brain-computer interface (BCI) technology and high-speed communication technology in the control system of a medical robot. The article begins by providing an overview of the development of BCI technology and its significance in assisting individuals with paralysis to regain their communication abilities. This is achieved by recording brain signals through non-invasive methods, thereby enabling the control of external devices. Subsequently, the article provides a comprehensive account of the ways in which high-speed communication technologies, particularly 5G networks, can markedly enhance the real-time and stability of medical robot control systems. These technologies offer low latency and high bandwidth. This enables more precise and secure telesurgery and complex medical operations Furthermore, the article examines the optimisation of communication protocols to reduce latency and enhance the reliability of data transmission, as well as the role of artificial intelligence and machine learning technologies in improving the decision-making capabilities of medical robots. In conclusion, the article addresses the safety and ethical concerns associated with medical robot control systems. It underscores the pivotal role of design and protocols in mitigating safety hazards and examines the prospective developments of BCI and high-speed communication technologies and their profound implications for the medical domain.