Network Performance Measurement through Machine to Machine Communication in Tele-Robotics System

Machine-to-machine (M2M) communication devices communicate and exchange information with each other in an independent manner to perform necessary tasks. The machine communicates with another machine over a wireless network. Wireless communication opens up the environment to huge vulnerabilities, making it very easy for hackers to gain access to sensitive information and carry out malicious actions. This paper proposes an M2M communication system through the internet in Tele-Robotics and provides network performance security. Tele-robotic systems are designed for surgery, treatment and diagnostics to be conducted across short or long distances while utilizing wireless communication networks. The systems also provide a low delay and secure communication system for the tele-robotics community and data security. The system can perform tasks autonomously and intelligently, minimizing the burden on medical staff and improving the quality and system performance of patient care. In the medical field, surgeons and patients are located at different places and connected through public networks. So the design of a medical sensor node network with LEACH protocol for secure and reliable communication ensures through the attack and without attack performance. Finally, the simulation results show low delay and reliable secure network transmission

Path planning for robot-enhanced cardiac radiofrequency catheter ablation

Radiofrequency Catheter Ablation (RFCA) is a procedure used to treat cardiac arrhythmias by burning at regions of the endocardial walls to prevent the abnormal electrical circuits causing the problem. Patients with Adult Congenital Heart Disease (ACHD) who have undergone surgical treatments suffer scarring within the heart that can lead to ab- normal cardiac rhythms. However, poor intraoperative cardiac geometry recovery and incomplete Electrophysiological (EP) mapping due to limited available procedure time and complex anatomy have resulted in difficulty to detect the regions to ablate and hence relatively high recurrence rates. In this paper, we present a catheter path planning algorithm to optimise cardiac EP mapping. Firstly, the optimal mapping positions are determined by curvature and distance weighted Quadric Error Metric Simplification (QEMS) to maximally recover the cardiac chamber geometry and EP mapping. Secondly, an efficient path is designed that moves along a predetermined axis for a robotic catheter to pass through and collect EP data at these positions. Validation is performed on retrospectively collected CARTO data from ACHD patients