surgical robot
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Micromachines ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 111
Author(s):  
Cheng Yang ◽  
Shuxiang Guo ◽  
Xianqiang Bao

Interventional surgical robots are widely used in neurosurgery to improve surgeons’ working environment and surgical safety. Based on the actual operational needs of surgeons’ feedback during preliminary in vivo experiments, this paper proposed an isomorphic interactive master controller for the master–slave interventional surgical robot. The isomorphic design of the controller allows surgeons to utilize their surgical skills during remote interventional surgeries. The controller uses the catheter and guidewire as the operating handle, the same as during actual surgeries. The collaborative operational structure design and the working methods followed the clinical operational skills. The linear force feedback and torque feedback devices were designed to improve the safety of surgeries under remote operating conditions. An eccentric force compensation was conducted to achieve accurate force feedback. Several experiments were carried out, such as calibration experiments, master–slave control performance evaluation experiments, and operation comparison experiments on the novel and previously used controllers. The experimental results show that the proposed controller can perform complex operations in remote surgery applications and has the potential for further animal experiment evaluations.


2022 ◽  
pp. 143-160
Author(s):  
Md Abdullah Al Momin ◽  
Md Nazmul Islam

Technology has greatly increased the availability of medical procedures in remote locations that are difficult to access, such as battlefields. Teleoperated surgical robots can be used to perform surgeries on patients over the internet in remote locations. A surgeon can remotely operate the robot to perform a procedure in another room or in a different continent. However, security technology has not yet caught up to these cyber-physical devices. There exist potential cybersecurity attacks on these medical devices that could expose a patient to danger in contrast to traditional surgery. Hence, the security of the system is very important. A malicious actor can gain control of the device and potentially threaten the life of a patient. In this chapter, the authors conduct a survey of potential attack vectors a malicious actor could exploit to deny service to the device, gain control of the device, and steal patient data. Furthermore, after the vulnerability analysis, the authors provide mitigation techniques to limit the risk of these attack vectors.


Author(s):  
Sem F. Hardon ◽  
Anton Kooijmans ◽  
Roel Horeman ◽  
Maarten van der Elst ◽  
Alexander L. A. Bloemendaal ◽  
...  

Abstract Background As global use of surgical robotic systems is steadily increasing, surgical simulation can be an excellent way for robotic surgeons to acquire and retain their skills in a safe environment. To address the need for training in less wealthy parts of the world, an affordable surgical robot simulator (PoLaRS) was designed. Methods The aim of this pilot study is to compare learning curve data of the PoLaRS prototype with those of Intuitive Surgical’s da Vinci Skills Simulator (dVSS) and to establish face- and construct validity. Medical students were divided into two groups; the test group (n = 18) performing tasks on PoLaRS and dVSS, and the control group (n = 20) only performing tasks on the dVSS. The performance parameters were Time, Path length, and the number of collisions. Afterwards, the test group participants filled in a questionnaire regarding both systems. Results A total of 528 trials executed by 38 participants were measured and included for analyses. The test group significantly improved in Time, Path Length and Collisions during the PoLaRS test phase (P ≤ 0.028). No differences was found between the test group and the control group in the dVSS performances during the post-test phase. Learning curves showed similar shapes between both systems, and between both groups. Participants recognized the potential benefits of simulation training on the PoLaRS system. Conclusions Robotic surgical skills improved during training with PoLaRS. This shows the potential of PoLaRS to become an affordable alternative to current surgical robot simulators. Validation with similar tasks and different expert levels is needed before implementing the training system into robotic training curricula.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Desirè Pantalone ◽  
Giulia Satu Faini ◽  
Francesca Cialdai ◽  
Elettra Sereni ◽  
Stefano Bacci ◽  
...  

AbstractThe target of human flight in space has changed from permanence on the International Space Station to missions beyond low earth orbit and the Lunar Gateway for deep space exploration and Missions to Mars. Several conditions affecting space missions had to be considered: for example the effect of weightlessness and radiations on the human body, behavioral health decrements or communication latency, and consumable resupply. Telemedicine and telerobotic applications, robot-assisted surgery with some hints on experimental surgical procedures carried out in previous missions, had to be considered as well. The need for greater crew autonomy in health issues is related to the increasing severity of medical and surgical interventions that could occur in these missions, and the presence of a highly trained surgeon on board would be recommended. A surgical robot could be a valuable aid but only inasfar as it is provided with multiple functions, including the capability to perform certain procedures autonomously. Space missions in deep space or on other planets present new challenges for crew health. Providing a multi-function surgical robot is the new frontier. Research in this field shall be paving the way for the development of new structured plans for human health in space, as well as providing new suggestions for clinical applications on Earth.


Author(s):  
Marek Żelechowski ◽  
Murali Karnam ◽  
Balázs Faludi ◽  
Nicolas Gerig ◽  
Georg Rauter ◽  
...  

2021 ◽  
Author(s):  
Shijie Zhu ◽  
Zhe Zhao ◽  
Yu Chen ◽  
Jiuzheng Deng ◽  
Jianjin Zhu ◽  
...  
Keyword(s):  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Fan-Hao Meng ◽  
Yu Song ◽  
Bo Qiao ◽  
Neng-Hao Jin ◽  
Yan-Ming Zhu ◽  
...  

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