Haptic feedback in the da Vinci Research Kit (dVRK): A user study based on grasping, palpation, and incision tasks

被引:42
作者
Saracino, Arianna [1 ,2 ]
Deguet, Anton [3 ]
Staderini, Fabio [4 ]
Boushaki, Mohamed Nassim [1 ]
Cianchi, Fabio [4 ]
Menciassi, Arianna [1 ]
Sinibaldi, Edoardo [2 ]
机构
[1] Scuola Super Sant Anna, BioRobot Inst, Viale Rinaldo Piaggio 34, I-56025 Pontedera, Italy
[2] Ist Italiano Tecnol, Ctr MicrobioRobot, Viale Rinaldo Piaggio 34, I-56025 Pontedera, Italy
[3] Johns Hopkins Univ, Lab Computat Sensing & Robot, Baltimore, MD USA
[4] Univ Florence, Dept Surg & Translat Med, Ctr Oncol Minimally Invas Surg, Florence, Italy
关键词
ROBOTIC PLATFORM; FORCE FEEDBACK; SURGERY; TELEOPERATION; LOCALIZATION;
D O I
10.1002/rcs.1999
中图分类号
R61 [外科手术学];
学科分类号
摘要
Background It was suggested that the lack of haptic feedback, formerly considered a limitation for the da Vinci robotic system, does not affect robotic surgeons because of training and compensation based on visual feedback. However, conclusive studies are still missing, and the interest in force reflection is rising again. Methods We integrated a seven-DoF master into the da Vinci Research Kit. We designed tissue grasping, palpation, and incision tasks with robotic surgeons, to be performed by three groups of users (expert surgeons, medical residents, and nonsurgeons, five users/group), either with or without haptic feedback. Task-specific quantitative metrics and a questionnaire were used for assessment. Results Force reflection made a statistically significant difference for both palpation (improved inclusion detection rate) and incision (decreased tissue damage). Conclusions Haptic feedback can improve key surgical outcomes for tasks requiring a pronounced cognitive burden for the surgeon, to be possibly negotiated with longer completion times.
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页数:13
相关论文
共 47 条
  • [1] Ahn B, 2011, IEEE INT C INT ROBOT, P4516, DOI 10.1109/IROS.2011.6048363
  • [2] Akinbiyi Takintope, 2006, Conf Proc IEEE Eng Med Biol Soc, V2006, P567
  • [3] Utility-Guided Palpation for Locating Tissue Abnormalities
    Ayvali, Elif
    Ansari, Alexander
    Wang, Long
    Simaan, Nabil
    Choset, Howie
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2017, 2 (02): : 864 - 871
  • [4] Bark K., 2012, Proc. Hamlyn Symposium on Medical Robotics, P50
  • [5] Application of haptic feedback to robotic surgery
    Bethea, BT
    Okamura, AM
    Kitagawa, M
    Fitton, TP
    Cattaneo, SM
    Gott, VL
    Baumgartner, WA
    Yuh, DD
    [J]. JOURNAL OF LAPAROENDOSCOPIC & ADVANCED SURGICAL TECHNIQUES-PART A, 2004, 14 (03): : 191 - 195
  • [6] Brooke J., 1996, USABILITY EVALUATION
  • [7] Using Contact Forces and Robot Arm Accelerations to Automatically Rate Surgeon Skill at Peg Transfer
    Brown, Jeremy D.
    O'Brien, Conor E.
    Leung, Sarah C.
    Dumon, Kristoffel R.
    Lee, David I.
    Kuchenbecker, Katherine J.
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2017, 64 (09) : 2263 - 2275
  • [8] Brown JD, 2017, 2017 IEEE WORLD HAPTICS CONFERENCE (WHC), P107, DOI 10.1109/WHC.2017.7989885
  • [9] Brown JD, 2016, IEEE HAPTICS SYM, P147, DOI 10.1109/HAPTICS.2016.7463169
  • [10] Robotic technology in surgery: past, present, and future
    Camarillo, DB
    Krummel, TM
    Salisbury, JK
    [J]. AMERICAN JOURNAL OF SURGERY, 2004, 188 (4A) : 2S - 15S