scholarly journals Integrating Cadaver Needle Forces Into a Haptic Robotic Simulator

2017 ◽  
Vol 12 (1) ◽  
Author(s):  
David F. Pepley ◽  
Mary A. Yovanoff ◽  
Katelin A. Mirkin ◽  
Scarlett R. Miller ◽  
David C. Han ◽  
...  

Accurate force simulation is essential to haptic simulators for surgical training. Factors such as tissue inhomogeneity pose unique challenges for simulating needle forces. To aid in the development of haptic needle insertion simulators, a handheld force sensing syringe was created to measure the motion and forces of needle insertions. Five needle insertions were performed into the neck of a cadaver using the force sensing syringe. Based on these measurements a piecewise exponential needle force characterization, was implemented into a haptic central venous catheterization (CVC) simulator. The haptic simulator was evaluated through a survey of expert surgeons, fellows, and residents. The maximum needle insertion forces measured ranged from 2.02 N to 1.20 N. With this information, four characterizations were created representing average, muscular, obese, and thin patients. The median survey results showed that users statistically agreed that “the robotic system made me sensitive to how patient anatomy impacts the force required to advance needles in the human body.” The force sensing syringe captured force and position information. The information gained from this syringe was able to be implemented into a haptic simulator for CVC insertions, showing its utility. Survey results showed that experts, fellows, and residents had an overall positive outlook on the haptic simulator's ability to teach haptic skills.

Author(s):  
David Pepley ◽  
Mary Yovanoff ◽  
Katelin Mirkin ◽  
David Han ◽  
Scarlett Miller ◽  
...  

Central venous catheterization (CVC) is a medical procedure where a surgeon attempts to place a catheter in the jugular, subclavian, or femoral vein. While useful, this procedure places patients at risk of a wide variety of adverse effects. Traditionally, training is performed on CVC mannequins, but these mannequins cannot vary patient anatomy. This work describes the development of a mobile training platform utilizing a haptic robotic arm and electromagnetic tracker to simulate a CVC needle insertion. A haptic robotic arm with custom syringe attachment used force feedback to provide the feeling of a needle insertion. A virtual ultrasound environment was created and made navigable by a mock ultrasound probe containing a magnetic tracking device. The effectiveness of the system as a training tool was tested on 12 medical students without CVC experience. An average increase in successful first insertion of 4.2% per practice scenario was seen in students who trained exclusively on the robotic training device. The robotic training device was able to successfully vary the difficulty of the virtual patient scenarios which in turn affected the success rates of the medical students. These results show that this system has the potential to successfully train medical residents for future CVC insertions.


2009 ◽  
Vol 2009 (0) ◽  
pp. _2A1-L12_1-_2A1-L12_3
Author(s):  
Ryutaro HAMANO ◽  
Kaoru OKADA ◽  
You KOBAYASHI ◽  
Jaesung HONG ◽  
Makoto HASHIZUME ◽  
...  

2016 ◽  
Vol 10 (3) ◽  
Author(s):  
David Pepley ◽  
Mary Yovanoff ◽  
Katelin Mirkin ◽  
Scarlett Miller ◽  
David Han ◽  
...  

2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Yo Kobayashi ◽  
Ryutaro Hamano ◽  
Hiroki Watanabe ◽  
Takuma Koike ◽  
Jaesung Hong ◽  
...  

Author(s):  
Dailen Brown ◽  
Jessica M. Gonzalez-Vargas ◽  
David Han ◽  
Scarlett Miller ◽  
Jason Moore

Abstract An Incremental Needle Insertion System (INIS) which simultaneously measures the force and position of a needle during insertion was designed and fabricated for use in a tissue deformation study to improve realism in medical simulation. The INIS was tested in a fresh frozen cadaver experiment and the position of the needle was plotted and compared to the expected needle path. It was found that the INIS is sufficiently accurate with an average path deviation of 1.55 mm. In addition, INIS was shown to successfully measure the maximum Central Venous Catheterization needle insertion force which ranged from 3.02 N to 3.73 N.


2019 ◽  
Vol 233 ◽  
pp. 351-359 ◽  
Author(s):  
Hong-En Chen ◽  
Mary A. Yovanoff ◽  
David F. Pepley ◽  
Rohan S. Prabhu ◽  
Cheyenne C. Sonntag ◽  
...  

2011 ◽  
Vol 131 (4) ◽  
pp. 870-879
Author(s):  
Yo Kobayashi ◽  
Jaesung Hong ◽  
Ryutaro Hamano ◽  
Makoto Hashizume ◽  
Kaoru Okada ◽  
...  

Author(s):  
Yo Kobayashi ◽  
Jaesung Hong ◽  
Ryutaro Hamano ◽  
Kaoru Okada ◽  
Masakatsu G. Fujie ◽  
...  

Author(s):  
Jessica M. Gonzalez-Vargas ◽  
Dailen C. Brown ◽  
Jason Z. Moore ◽  
David C. Han ◽  
Elizabeth H. Sinz ◽  
...  

The Dynamic Haptic Robotic Trainer (DHRT) was developed to minimize the up to 39% of adverse effects experienced by patients during Central Venous Catheterization (CVC) by standardizing CVC training, and provide automated assessments of performance. Specifically, this system was developed to replace manikin trainers that only simulate one patient anatomy and require a trained preceptor to evaluate the trainees’ performance. While the DHRT system provides automated feedback, the utility of this system with real-world scenarios and expertise has yet to be thoroughly investigated. Thus, the current study was developed to determine the validity of the current objective assessment metrics incorporated in the DHRT system through expert interviews. The main findings from this study are that experts do agree on perceptions of patient case difficulty, and that characterizations of patient case difficulty is based on anatomical characteristics, multiple needle insertions, and prior catheterization.


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