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Analysis of Interventionalists' Natural Behaviors for Recognizing Motion Patterns of Endovascular Tools During Percutaneous Coronary Interventions | |
Zhou, Xiao-Hu1,2; Bian, Gui-Bin1; Xie, Xiao-Liang1; Hou, Zeng-Guang1,2,3; Qu, Xinkai4; Guan, Shaofeng4 | |
发表期刊 | IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS |
ISSN | 1932-4545 |
2019-04-01 | |
卷号 | 13期号:2页码:330-342 |
摘要 | Many robotic platforms can indeed reduce radiation exposure to clinicians during percutaneous coronary intervention (PCI), however, interventionalists' natural manipulations are rarely involved in robot-assisted PCI. This requires more attention to analyze interventionalists' natural behaviors during conventional PCI. In this study, four types of natural behavior (i.e., muscle activity, hand motion, proximal force, and finger motion) were synchronously acquired from ten subjects while performing six typical types of guidewire manipulation. These behaviors are evaluated by a hidden Markov model (HMM) based analysis framework for relevant behavior selection. Relevant behaviors are further used as the input of two HMM-based classification frameworks to recognize guidewire motion patterns. Experimental results show that under the basic classification framework (BCF), 91.01% and 93.32% recognition accuracies can be achieved by using all behaviors and relevant behaviors, respectively. Furthermore, the hierarchical classification framework can significantly enhance the recognition ability of relevant behaviors with an accuracy of 96.39%. These promising results demonstrate great potential of proposed methods for promoting the future design of human-robot interfaces in robot-assisted PCI.
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其他摘要 |
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关键词 | Analysis framework hidden Markov model hierarchical classification framework natural behaviors percutaneous coronary intervention |
DOI | 10.1109/TBCAS.2019.2892411 |
关键词[WOS] | SURFACE ELECTROMYOGRAPHY ; ACTIVITY RECOGNITION ; EMG SIGNAL ; SURGERY ; SYSTEM ; PERFORMANCE ; CONTROLLER |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Beijing Natural Science Foundation[L172050] ; Strategic Priority Research Program of CAS[XDBS01040100] ; National Natural Science Foundation of China[61603386] ; National Natural Science Foundation of China[61611130217] ; National Natural Science Foundation of China[61720106012] ; National Natural Science Foundation of China[61533016] ; National Natural Science Foundation of China[61421004] ; National Natural Science Foundation of China[61421004] ; National Natural Science Foundation of China[61533016] ; National Natural Science Foundation of China[61720106012] ; National Natural Science Foundation of China[61611130217] ; National Natural Science Foundation of China[61603386] ; Strategic Priority Research Program of CAS[XDBS01040100] ; Beijing Natural Science Foundation[L172050] |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Biomedical ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000462410800006 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23496 |
专题 | 复杂系统认知与决策实验室_先进机器人 |
通讯作者 | Hou, Zeng-Guang |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100190, Peoples R China 4.Fudan Univ, Huadong Hosp, Dept Cardiol, Shanghai 200040, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhou, Xiao-Hu,Bian, Gui-Bin,Xie, Xiao-Liang,et al. Analysis of Interventionalists' Natural Behaviors for Recognizing Motion Patterns of Endovascular Tools During Percutaneous Coronary Interventions[J]. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS,2019,13(2):330-342. |
APA | Zhou, Xiao-Hu,Bian, Gui-Bin,Xie, Xiao-Liang,Hou, Zeng-Guang,Qu, Xinkai,&Guan, Shaofeng.(2019).Analysis of Interventionalists' Natural Behaviors for Recognizing Motion Patterns of Endovascular Tools During Percutaneous Coronary Interventions.IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS,13(2),330-342. |
MLA | Zhou, Xiao-Hu,et al."Analysis of Interventionalists' Natural Behaviors for Recognizing Motion Patterns of Endovascular Tools During Percutaneous Coronary Interventions".IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 13.2(2019):330-342. |
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