Dynamic Multiaction Recognition and Expert Movement Mapping for Closed Pelvic Reduction

doi:10.1109/TII.2022.3220872

	Dynamic Multiaction Recognition and Expert Movement Mapping for Closed Pelvic Reduction
	Pan, Ming-Zhang 1; Deng, Ya-Wen 1; Li, Zhen2,3 ; Chen, Yuan 1; Liao, Xiao-Lan 1; Bian, Gui-Bin3
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
ISSN	1551-3203
	2023-08-01
卷号	19 期号:8 页码:8667-8678
通讯作者	Bian, Gui-Bin(guibin.bian@ia.ac.cn)
摘要	Pelvic fractures are one of the most serious traumas in orthopedic care, and reduction during routine surgery is a significant challenge. Because there are so many vital organs, blood vessels, and nerves around the pelvis, and the reduction force is large, the operational requirements for the surgeon are extremely strict and require extensive experience and surgical skills. This article proposes a method for collecting and digitizing doctors' reduction movements, which aims to help intelligent devices recognize surgeons' reduction actions and provides a means to learn from expert experience to improve the accuracy of surgery. First, the convolutional bidirectional long short-term memory algorithm with multilayer cross-fused features is proposed. It extracts time and spatial correlations between multimodal data in a hierarchical manner. Second, discrete dynamic motion primitives are adopted for mapping the surgeon's palm movement trajectory. Finally, this article constructs a data acquisition platform and collects data from surgeons with varying proficiency in closed reduction. Experiment results show that the closed reduction action recognition accuracy is 99% and posture recognition accuracy is 95.5%. The recognition algorithm proposed by this article is significantly higher than the commonly used algorithms in terms of Accuracy, Precision, Recall, and F1-Score. This article provides methods and means for the digitization of surgical expertise and transfers learning for robot-assisted surgery.
关键词	Action recognition conv-BiLSTM closed pelvic reduction dynamic movement primitives multimodal data fusion surgeon movement mapping
DOI	10.1109/TII.2022.3220872
关键词[WOS]	NEURAL-NETWORKS
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2020YFB1313800] ; National Natural Science Foundation of China[62027813] ; National Natural Science Foundation of China[U20A20196] ; National Natural Science Foundation of China[62176266] ; CAS Interdisciplinary Innovation Team[JCTD-2019-07] ; Beijing Science Fund for Distinguished Young Scholars[JQ21016]
项目资助者	National Key Research and Development Program of China ; National Natural Science Foundation of China ; CAS Interdisciplinary Innovation Team ; Beijing Science Fund for Distinguished Young Scholars
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
WOS类目	Automation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS记录号	WOS:001030673600011
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/53919
专题	多模态人工智能系统全国重点实验室
通讯作者	Bian, Gui-Bin
作者单位	1.Guangxi Univ, Sch Mech Engn, Nanning 530004, Peoples R China 2.Tongji Univ, Sch Elect & Informat Engn, Shanghai 200092, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
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	Pan, Ming-Zhang,Deng, Ya-Wen,Li, Zhen,et al. Dynamic Multiaction Recognition and Expert Movement Mapping for Closed Pelvic Reduction[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2023,19(8):8667-8678.
APA	Pan, Ming-Zhang,Deng, Ya-Wen,Li, Zhen,Chen, Yuan,Liao, Xiao-Lan,&Bian, Gui-Bin.(2023).Dynamic Multiaction Recognition and Expert Movement Mapping for Closed Pelvic Reduction.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,19(8),8667-8678.
MLA	Pan, Ming-Zhang,et al."Dynamic Multiaction Recognition and Expert Movement Mapping for Closed Pelvic Reduction".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 19.8(2023):8667-8678.