KFU. Card publication. Toward automated open wound suturing using haptic feedback: detecting wounds and planning the suture

KAZAN
FEDERAL UNIVERSITY

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TOWARD AUTOMATED OPEN WOUND SUTURING USING HAPTIC FEEDBACK: DETECTING WOUNDS AND PLANNING THE SUTURE

Form of presentation

Articles in international journals and collections

Year of publication

2018

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Authors, employees of KFU

Magid Evgeniy Arkadevich, author

Sagitov Artur Gazizovich, author

Authors, postgraduates KFU

Sagitov Artur Gazizovich, postgraduate kfu

Bibliographic description in the original language

Sagitov A., Li H., Magid E. Toward automated open wound suturing using haptic feedback: detecting wounds and planning the suture // International Conference on Artificial Life and Robotics (ICAROB 2018) (Beppu, Japan; 1-4 February 2018) - p. 208-211.

Annotation

One of the key disadvantages of robotic surgery as of today is the lack of haptic feedback. While in traditional surgery surgeons using their haptic senses in all tasks most medical robot lack this ability. Using robots with haptic feedback have the potential of reducing the time spend by surgeon on such tedious subtasks as suturing helps reducing surgeon fatigue. Also decreasing the manual input of the surgeon enables remote surgery even using long communication links with big 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

ICAROB 2018: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=192858&p_lang=2

Resource files

File name	Size (MB)	Format
F_2018_Toward_automated_open_wound_suturing_using_haptic_feedback_detecting_wounds_and_planning_the_suture.pdf	0,26	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Magid Evgeniy Arkadevich	ru_RU
dc.contributor.author	Sagitov Artur Gazizovich	ru_RU
dc.contributor.author	Sagitov Artur Gazizovich	ru_RU
dc.date.accessioned	2018-01-01T00:00:00Z	ru_RU
dc.date.available	2018-01-01T00:00:00Z	ru_RU
dc.date.issued	2018	ru_RU
dc.identifier.citation	Sagitov A., Li H., Magid E. Toward automated open wound suturing using haptic feedback: detecting wounds and planning the suture // International Conference on Artificial Life and Robotics (ICAROB 2018) (Beppu, Japan; 1-4 February 2018) - p. 208-211.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=192858&p_lang=2	ru_RU
dc.description.abstract	ICAROB 2018: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS	ru_RU
dc.description.abstract	One of the key disadvantages of robotic surgery as of today is the lack of haptic feedback. While in traditional surgery surgeons using their haptic senses in all tasks most medical robot lack this ability. Using robots with haptic feedback have the potential of reducing the time spend by surgeon on such tedious subtasks as suturing helps reducing surgeon fatigue. Also decreasing the manual input of the surgeon enables remote surgery even using long communication links with big 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.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Robotics	ru_RU
dc.subject	robot assisted surgery	ru_RU
dc.subject	medical robotics	ru_RU
dc.subject	manipulator	ru_RU
dc.subject	algorithm	ru_RU
dc.subject	modelling	ru_RU
dc.subject	trajectory	ru_RU
dc.title	Toward automated open wound suturing using haptic feedback: detecting wounds and planning the suture	ru_RU
dc.type	Articles in international journals and collections	ru_RU