CASIA OpenIR
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
Source PublicationIEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
ISSN1932-4545
2019-04-01
Volume13Issue:2Pages:330-342
Abstract

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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KeywordAnalysis framework hidden Markov model hierarchical classification framework natural behaviors percutaneous coronary intervention
DOI10.1109/TBCAS.2019.2892411
WOS KeywordSURFACE ELECTROMYOGRAPHY ; ACTIVITY RECOGNITION ; EMG SIGNAL ; SURGERY ; SYSTEM ; PERFORMANCE ; CONTROLLER
Indexed BySCI
Language英语
Funding ProjectNational 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 Research AreaEngineering
WOS SubjectEngineering, Biomedical ; Engineering, Electrical & Electronic
WOS IDWOS:000462410800006
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23496
Collection中国科学院自动化研究所
Corresponding AuthorHou, Zeng-Guang
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
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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