Study of the Operational Safety of a Vascular Interventional Surgical Robotic System
This paper proposes an operation safety early warning system based on LabView (2014, National Instruments Corporation, Austin, TX, USA) for vascular interventional surgery (VIS) robotic system. The system not only provides intuitive visual feedback information for the surgeon, but also has a safety...
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doaj-1133a5cf88b24e58872147b5131de6da2020-11-24T22:34:19ZengMDPI AGMicromachines2072-666X2018-03-019311910.3390/mi9030119mi9030119Study of the Operational Safety of a Vascular Interventional Surgical Robotic SystemJian Guo0Xiaoliang Jin1Shuxiang Guo2Key Laboratory for Control Theory and Application in Complicated Systems and Biomedical Robot Laboratory, Tianjin University of Technology, Tianjin 300384, ChinaKey Laboratory for Control Theory and Application in Complicated Systems and Biomedical Robot Laboratory, Tianjin University of Technology, Tianjin 300384, ChinaKey Laboratory for Control Theory and Application in Complicated Systems and Biomedical Robot Laboratory, Tianjin University of Technology, Tianjin 300384, ChinaThis paper proposes an operation safety early warning system based on LabView (2014, National Instruments Corporation, Austin, TX, USA) for vascular interventional surgery (VIS) robotic system. The system not only provides intuitive visual feedback information for the surgeon, but also has a safety early warning function. It is well known that blood vessels differ in their ability to withstand stress in different age groups, therefore, the operation safety early warning system based on LabView has a vascular safety threshold function that changes in real-time, which can be oriented to different age groups of patients and a broader applicable scope. In addition, the tracing performance of the slave manipulator to the master manipulator is also an important index for operation safety. Therefore, we also transformed the slave manipulator and integrated the displacement error compensation algorithm in order to improve the tracking ability of the slave manipulator to the master manipulator and reduce master–slave tracking errors. We performed experiments “in vitro” to validate the proposed system. According to previous studies, 0.12 N is the maximum force when the blood vessel wall has been penetrated. Experimental results showed that the proposed operation safety early warning system based on LabView combined with operating force feedback can effectively avoid excessive collisions between the surgical catheter and vessel wall to avoid vascular puncture. The force feedback error of the proposed system is maintained between ±20 mN, which is within the allowable safety range and meets our design requirements. Therefore, the proposed system can ensure the safety of surgery.http://www.mdpi.com/2072-666X/9/3/119vascular interventional surgery (VIS)safety early warningmaster–slave tracking errordisplacement error compensation algorithmblood vesselsforce feedback |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jian Guo Xiaoliang Jin Shuxiang Guo |
spellingShingle |
Jian Guo Xiaoliang Jin Shuxiang Guo Study of the Operational Safety of a Vascular Interventional Surgical Robotic System Micromachines vascular interventional surgery (VIS) safety early warning master–slave tracking error displacement error compensation algorithm blood vessels force feedback |
author_facet |
Jian Guo Xiaoliang Jin Shuxiang Guo |
author_sort |
Jian Guo |
title |
Study of the Operational Safety of a Vascular Interventional Surgical Robotic System |
title_short |
Study of the Operational Safety of a Vascular Interventional Surgical Robotic System |
title_full |
Study of the Operational Safety of a Vascular Interventional Surgical Robotic System |
title_fullStr |
Study of the Operational Safety of a Vascular Interventional Surgical Robotic System |
title_full_unstemmed |
Study of the Operational Safety of a Vascular Interventional Surgical Robotic System |
title_sort |
study of the operational safety of a vascular interventional surgical robotic system |
publisher |
MDPI AG |
series |
Micromachines |
issn |
2072-666X |
publishDate |
2018-03-01 |
description |
This paper proposes an operation safety early warning system based on LabView (2014, National Instruments Corporation, Austin, TX, USA) for vascular interventional surgery (VIS) robotic system. The system not only provides intuitive visual feedback information for the surgeon, but also has a safety early warning function. It is well known that blood vessels differ in their ability to withstand stress in different age groups, therefore, the operation safety early warning system based on LabView has a vascular safety threshold function that changes in real-time, which can be oriented to different age groups of patients and a broader applicable scope. In addition, the tracing performance of the slave manipulator to the master manipulator is also an important index for operation safety. Therefore, we also transformed the slave manipulator and integrated the displacement error compensation algorithm in order to improve the tracking ability of the slave manipulator to the master manipulator and reduce master–slave tracking errors. We performed experiments “in vitro” to validate the proposed system. According to previous studies, 0.12 N is the maximum force when the blood vessel wall has been penetrated. Experimental results showed that the proposed operation safety early warning system based on LabView combined with operating force feedback can effectively avoid excessive collisions between the surgical catheter and vessel wall to avoid vascular puncture. The force feedback error of the proposed system is maintained between ±20 mN, which is within the allowable safety range and meets our design requirements. Therefore, the proposed system can ensure the safety of surgery. |
topic |
vascular interventional surgery (VIS) safety early warning master–slave tracking error displacement error compensation algorithm blood vessels force feedback |
url |
http://www.mdpi.com/2072-666X/9/3/119 |
work_keys_str_mv |
AT jianguo studyoftheoperationalsafetyofavascularinterventionalsurgicalroboticsystem AT xiaoliangjin studyoftheoperationalsafetyofavascularinterventionalsurgicalroboticsystem AT shuxiangguo studyoftheoperationalsafetyofavascularinterventionalsurgicalroboticsystem |
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