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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MDPI AG
2023-04-01
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Series: | Applied Sciences |
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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. |
first_indexed | 2024-03-11T04:24:58Z |
format | Article |
id | doaj.art-3fda352a549c4f77aaf0e40fd8cae4e4 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-11T04:24:58Z |
publishDate | 2023-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
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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