Tactile Perception Technologies and Their Applications in Minimally Invasive Surgery: A Review
文献类型:期刊论文
作者 | Huang, Chao1,2; Wang, Qizhuo1; Zhao, Mingfu1; Chen, Chunyan2; Pan, Sinuo2; Yuan, Minjie2 |
刊名 | FRONTIERS IN PHYSIOLOGY |
出版日期 | 2020-12-23 |
卷号 | 11页码:15 |
ISSN号 | 1664-042X |
关键词 | tactile sensors tactile perception tactile images minimally invasive surgery robotic surgery artificial intelligence |
DOI | 10.3389/fphys.2020.611596 |
英文摘要 | Minimally invasive surgery (MIS) has been the preferred surgery approach owing to its advantages over conventional open surgery. As a major limitation, the lack of tactile perception impairs the ability of surgeons in tissue distinction and maneuvers. Many studies have been reported on industrial robots to perceive various tactile information. However, only force data are widely used to restore part of the surgeon's sense of touch in MIS. In recent years, inspired by image classification technologies in computer vision, tactile data are represented as images, where a tactile element is treated as an image pixel. Processing raw data or features extracted from tactile images with artificial intelligence (AI) methods, including clustering, support vector machine (SVM), and deep learning, has been proven as effective methods in industrial robotic tactile perception tasks. This holds great promise for utilizing more tactile information in MIS. This review aims to provide potential tactile perception methods for MIS by reviewing literatures on tactile sensing in MIS and literatures on industrial robotic tactile perception technologies, especially AI methods on tactile images. |
资助项目 | Science and Technology Bureau of Ningbo National High-Tech Zone (Program for Development and Industrialization of Intelligent Assistant Robot) ; Industrial Internet Innovation and Development Project in 2018 (Program for Industrial Internet platform Testbed for Network Collaborative Manufacturing) ; Industrial Internet Innovation and Development Project in 2020 (Program for Industrial Internet Platform Application Innovation Promotion Center) |
WOS研究方向 | Physiology |
语种 | 英语 |
出版者 | FRONTIERS MEDIA SA |
WOS记录号 | WOS:000604938500001 |
源URL | [http://119.78.100.204/handle/2XEOYT63/16365] |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Huang, Chao |
作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 2.Chinese Acad Sci, Ningbo Inst Informat Technol Applicat, Ningbo, Peoples R China |
推荐引用方式 GB/T 7714 | Huang, Chao,Wang, Qizhuo,Zhao, Mingfu,et al. Tactile Perception Technologies and Their Applications in Minimally Invasive Surgery: A Review[J]. FRONTIERS IN PHYSIOLOGY,2020,11:15. |
APA | Huang, Chao,Wang, Qizhuo,Zhao, Mingfu,Chen, Chunyan,Pan, Sinuo,&Yuan, Minjie.(2020).Tactile Perception Technologies and Their Applications in Minimally Invasive Surgery: A Review.FRONTIERS IN PHYSIOLOGY,11,15. |
MLA | Huang, Chao,et al."Tactile Perception Technologies and Their Applications in Minimally Invasive Surgery: A Review".FRONTIERS IN PHYSIOLOGY 11(2020):15. |
入库方式: OAI收割
来源:计算技术研究所
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