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Abdominal Palpation Haptic Device for Colonoscopy Simulation Using Pneumatic Control

Overview of attention for article published in IEEE Transactions on Haptics, June 2012
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Title
Abdominal Palpation Haptic Device for Colonoscopy Simulation Using Pneumatic Control
Published in
IEEE Transactions on Haptics, June 2012
DOI 10.1109/toh.2011.66
Pubmed ID
Authors

M. Cheng, W. Marinovic, M. Watson, S. Ourselin, J. Passenger, H. De Visser, O. Salvado, S. Riek

Abstract

In this paper, we describe the development of a haptic device to be used in a simulator aiming to train the skills of gastroenterology assistants in abdominal palpation during colonoscopy, as well as to train team interaction skills for the colonoscopy team. To understand the haptic feedback forces to be simulated by the haptic device, we conducted an experiment with five participants of varying BMI. The applied forces and displacements were measured and hysteresis modeling was used to characterize the experimental data. These models were used to determine the haptic feedback forces required to simulate a BMI case in response to the real-time user interactions. The pneumatic haptic device consisted of a sphygmomanometer bladder as the haptic interface and a fuzzy controller to regulate the bladder pressure. The haptic device showed good steady state and dynamic response was adequate for simulating haptic interactions. Tracking accuracy averaged 94.2 percent within 300 ms of the reference input while the user was actively applying abdominal palpation and minor repositioning.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Mexico 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 34%
Student > Master 5 13%
Researcher 5 13%
Student > Bachelor 4 11%
Professor > Associate Professor 2 5%
Other 2 5%
Unknown 7 18%
Readers by discipline Count As %
Engineering 13 34%
Computer Science 5 13%
Medicine and Dentistry 5 13%
Psychology 3 8%
Neuroscience 3 8%
Other 2 5%
Unknown 7 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 November 2011.
All research outputs
#17,289,387
of 25,377,790 outputs
Outputs from IEEE Transactions on Haptics
#192
of 284 outputs
Outputs of similar age
#118,884
of 180,825 outputs
Outputs of similar age from IEEE Transactions on Haptics
#6
of 9 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 180,825 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.