An Interventional Surgical Robot Based on Multi-Data Detection

Vascular interventional surgery is the most common method for the treatment of cardiovascular diseases. Interventional surgical robot has attracted extensive attention because of its precise control and remote operation. However, conventional force sensors in surgical robots can only detect the axia...

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Main Authors: Dong Yang, Nan Xiao, Yuxuan Xia, Wei Wei
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/9/5301
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author Dong Yang
Nan Xiao
Yuxuan Xia
Wei Wei
author_facet Dong Yang
Nan Xiao
Yuxuan Xia
Wei Wei
author_sort Dong Yang
collection DOAJ
description Vascular interventional surgery is the most common method for the treatment of cardiovascular diseases. Interventional surgical robot has attracted extensive attention because of its precise control and remote operation. However, conventional force sensors in surgical robots can only detect the axial thrust pressure of the catheter. Inspired by the function of insect antennae, we designed a structure with a thin-film force sensing device in the catheter head. Combined with the pressure sensor in the catheter clamping device, multiple sensor data were fused to predict and classify the current vascular environment using the LSTM network with 94.2% accuracy. During robotic surgery, real-time feedback of current pressure information and vascular curvature information can enhance doctors’ judgment of surgical status and improve surgical safety.
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spelling doaj.art-3fda352a549c4f77aaf0e40fd8cae4e42023-11-17T22:32:07ZengMDPI AGApplied Sciences2076-34172023-04-01139530110.3390/app13095301An Interventional Surgical Robot Based on Multi-Data DetectionDong Yang0Nan Xiao1Yuxuan Xia2Wei Wei3School of Optoelectronic Science and Engineering, Soochow University, Suzhou 215131, ChinaSchool of Life Science, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Optoelectronic Science and Engineering, Soochow University, Suzhou 215131, ChinaSchool of Electronics & Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaVascular interventional surgery is the most common method for the treatment of cardiovascular diseases. Interventional surgical robot has attracted extensive attention because of its precise control and remote operation. However, conventional force sensors in surgical robots can only detect the axial thrust pressure of the catheter. Inspired by the function of insect antennae, we designed a structure with a thin-film force sensing device in the catheter head. Combined with the pressure sensor in the catheter clamping device, multiple sensor data were fused to predict and classify the current vascular environment using the LSTM network with 94.2% accuracy. During robotic surgery, real-time feedback of current pressure information and vascular curvature information can enhance doctors’ judgment of surgical status and improve surgical safety.https://www.mdpi.com/2076-3417/13/9/5301vascular interventional surgical robotforce detectionrobot-assisted surgerydata fusionLSTM classification
spellingShingle Dong Yang
Nan Xiao
Yuxuan Xia
Wei Wei
An Interventional Surgical Robot Based on Multi-Data Detection
Applied Sciences
vascular interventional surgical robot
force detection
robot-assisted surgery
data fusion
LSTM classification
title An Interventional Surgical Robot Based on Multi-Data Detection
title_full An Interventional Surgical Robot Based on Multi-Data Detection
title_fullStr An Interventional Surgical Robot Based on Multi-Data Detection
title_full_unstemmed An Interventional Surgical Robot Based on Multi-Data Detection
title_short An Interventional Surgical Robot Based on Multi-Data Detection
title_sort interventional surgical robot based on multi data detection
topic vascular interventional surgical robot
force detection
robot-assisted surgery
data fusion
LSTM classification
url https://www.mdpi.com/2076-3417/13/9/5301
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AT weiwei aninterventionalsurgicalrobotbasedonmultidatadetection
AT dongyang interventionalsurgicalrobotbasedonmultidatadetection
AT nanxiao interventionalsurgicalrobotbasedonmultidatadetection
AT yuxuanxia interventionalsurgicalrobotbasedonmultidatadetection
AT weiwei interventionalsurgicalrobotbasedonmultidatadetection