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An application of pressure estimation in minimally invasive surgery

EasyChair Preprint no. 192

5 pagesDate: May 30, 2018


Because of its many advantages, the minimally invasive surgery (MIS) becomes more and more important as a medical technique. During MIS, the operation area has to be expanded and flushed with a rinsing fluid for a suitable expansion and to maintain visibility. This is done with the help of a special medical device called double roller pump. By controlling the pump’s speed for the inflow and outflow of fluid, the pressure in the area is changed respectively. The problem of pressure control was investigated successfully in [1]. However, in this case, the output pressure was directly measured. But in the case of a real operation, the pressure cannot be measured directly because of the safety of the patient. Therefore, this paper presents a solution to reconstruct the pressure in the operation area by using the available sensor data from the double roller pump for the application of a knee arthroscopy. A Luenberger observer and a Kalman filter were implemented both on simulation and on a real-life simulator. The estimated results illustrate that the Kalman filter is better than the Luenberger in terms of fast-tracking and noise cancelling.

Keyphrases: arthroscopy, minimally invasive surgery, observer, Pressure estimation

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Van-Muot Nguyen and Eike Christian Smolinski and Alexander Benkmann and Wolfgang Drewelow and Torsten Jeinsch},
  title = {An application of pressure estimation in minimally invasive surgery},
  howpublished = {EasyChair Preprint no. 192},
  doi = {10.29007/k9v2},
  year = {EasyChair, 2018}}
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