Editorial Comment to Dry box training with three-dimensional vision for the assistant surgeon in robot-assisted urological surgery

2013 ◽  
pp. n/a-n/a
Author(s):  
Sey Kiat Lim ◽  
Koon Ho Rha
2013 ◽  
pp. n/a-n/a ◽  
Author(s):  
Nobuyuki Hinata ◽  
Hideto Iwamoto ◽  
Shuichi Morizane ◽  
Katsuya Hikita ◽  
Akihisa Yao ◽  
...  

Author(s):  
Mark Sullivan ◽  
Nilay Patel ◽  
Inderbir Gill

The development of laparoscopic and consequently robotic urological surgery have improved the visual field for the urological surgeon and led to reductions in postoperative pain, reduced convalescence, and improved cosmesis for the patient. Laparoscopy and robotics require video systems and telescopes to produce high-resolution images. Trocars have been developed to access the surgical field together with devices to deliver the insufflating gases. Instruments have been developed to allow for tissue dissection and incision together with haemostatic devices and sealants for control of small diameter vessel bleeding. Clips and staplers are used to control larger diameter vessels. Methods of access and skills training are discussed. Robotic surgery provides three-dimensional vision, greater range of movement, and the lack of tremor. Whether these are real benefits in terms of patient outcome is not yet clear, but the learning curve for robotic surgery does appear to be shorter than for pure laparoscopy.


2019 ◽  
Vol 18 (6) ◽  
pp. e2690 ◽  
Author(s):  
F. Porpiglia ◽  
E. Checcucci ◽  
D. Amparore ◽  
F. Piramide ◽  
P. Verri ◽  
...  

2015 ◽  
Vol 22 (4) ◽  
pp. 423-423 ◽  
Author(s):  
Angela W. Yu ◽  
Hamid Abboudi ◽  
Erik Mayer ◽  
Justin Vale

1989 ◽  
Author(s):  
Keiichi Kemmotsu ◽  
Yuichi Sasano ◽  
Katsumi Oshitani

Author(s):  
Wei Liu ◽  
John Kovaleski ◽  
Marcus Hollis

Robotic assisted rehabilitation, taking advantage of neuroplasticity, has been shown to be helpful in regaining some degree of gait performance. Robot-applied movement along with voluntary efferent motor commands coordinated with the robot allows optimization of motion training. We present the design and characteristics of a novel foot-based 6-degree-of-freedom (DOF) robot-assisted gait training system where the limb trajectory mirrored the normal walking gait. The goal of this study was to compare robot-assisted gait to normal walking gait, where the limb moved independently without robotics. Motion analysis was used to record the three-dimensional kinematics of the right lower extremity. Walking motion data were determined and transferred to the robotic motion application software for inclusion in the robotic trials where the robot computer software was programmed to produce a gait pattern in the foot equivalent to the gait pattern recorded from the normal walking gait trial. Results demonstrated that ankle; knee and hip joint motions produced by the robot are consistent with the joint motions in walking gait. We believe that this control algorithm provides a rationale for use in future rehabilitation, targeting robot-assisted training in people with neuromuscular disabilities such as stroke.


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