Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
AUTOMATED OPEN WOUND SUTURING: DETECTION AND PLANNING ALGORITHM
Form of presentationArticles in international journals and collections
Year of publication2018
Языканглийский
  • Magid Evgeniy Arkadevich, author
  • Sagitov Artur Gazizovich, author
  • Coy Tatyana Grigorevna, author
  • Sagitov Artur Gazizovich, postgraduate kfu
  • Sagitov Artur Gazizovich, postgraduate kfu
  • Coy Tatyana Grigorevna, postgraduate kfu
  • Bibliographic description in the original language Sagitov A. Automated open wound suturing: detection and planning algorithm. / Tsoy T., Li H., Magid E. // Journal of Robotics, Networking and Artificial Life. - 2018. - №5(2). - p. 144-148.
    Annotation Today one of the key disadvantages of robotic surgery is a lack of a haptic feedback, while in traditional surgery a surgeon uses human haptic senses in all tasks. Providing robots with a haptic feedback have a high potential of reducing time that is spent by a surgeon on suturing subtasks and helping to reduce a surgeon fatigue. Decreasing manual input of a surgeon enables remote surgery even under long communication links with significant latency. In this paper we present a framework of wound detection and suture planning. We plan to implement and test our algorithms using KUKA iiwa manipulator.
    Keywords Robotics, robot assisted surgery, medical robotics, manipulator, algorithm, modelling, trajectory
    The name of the journal JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE
    URL https://www.atlantis-press.com/journals/jrnal/25902062
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=185400&p_lang=2
    Resource files 
    File name Size (MB) Format  
    2018_Automated_open_wound_suturing_detection_and_planning_algorithm.pdf 1,33 pdf show / download

    Full metadata record