Force modeling for incisions into various tissues with MRF haptic master

This study proposes a new model to predict the reaction force that occurs in incisions during robot-assisted minimally invasive surgery. The reaction force is fed back to the manipulator by a magneto-rheological fluid (MRF) haptic master, which is featured by a bi-directional clutch actuator. The re...

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Bibliographic Details
Published in:Smart materials and structures 2016-03, Vol.25 (3), p.35008-35020
Main Authors: Kim, Pyunghwa, Kim, Soomin, Park, Young-Dai, Choi, Seung-Bok
Format: Article
Language:English
Subjects:
Algorithms
Control methods
Feedback
force realization
haptic force modeling
Haptics
magneto-rheological fluid
Magnetorheological fluids
Mathematical models
Modelling
MRF haptic master
robot-assisted minimally invasive surgery (RMIS)
Telesurgery
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Summary:This study proposes a new model to predict the reaction force that occurs in incisions during robot-assisted minimally invasive surgery. The reaction force is fed back to the manipulator by a magneto-rheological fluid (MRF) haptic master, which is featured by a bi-directional clutch actuator. The reaction force feedback provides similar sensations to laparotomy that cannot be provided by a conventional master for surgery. This advantage shortens the training period for robot-assisted minimally invasive surgery and can improve the accuracy of operations. The reaction force modeling of incisions can be utilized in a surgical simulator that provides a virtual reaction force. In this work, in order to model the reaction force during incisions, the energy aspect of the incision process is adopted and analyzed. Each mode of the incision process is classified by the tendency of the energy change, and modeled for realistic real-time application. The reaction force model uses actual reaction force information with three types of actual tissues: hard tissue, medium tissue, and soft tissue. This modeled force is realized by the MRF haptic master through an algorithm based on the position and velocity of a scalpel using two different control methods: an open-loop algorithm and a closed-loop algorithm. The reaction forces obtained from the proposed model are compared with a desired force in time domain.
ISSN:0964-1726
1361-665X
DOI:10.1088/0964-1726/25/3/035008