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Title: Development an arm robot to simulate the lead-pipe rigidity for medical education
Authors: Wang, Chunbao
Duan, Lihong
Li, Mengjie
Lu, Zhijiang
Shen, Yajing
Wei, Jianjun
Shi, Qing
Wang, Yulong
Zecca, Massimiliano
Li, Weiguang
Wu, Zhengzhi
Keywords: Medical training
Medical robot
Lead-pipe symptom
Neurological examination
Issue Date: 2015
Publisher: © IEEE
Citation: WANG, C. ... et al, 2015. Development an arm robot to simulate the lead-pipe rigidity for medical education. IN: Proceedings of the 2015 IEEE International Conference on Information and Automation, ICIA 2015, 8th-10th August 2015, Lijiang, China, pp. 619 - 624.
Abstract: Neurologic examination takes an important role in the physical examination. It requires abundant knowledge with prominent skills. Normally, the medical staffs, especially novices are trained to master the skills and accumulate experiences with several methods such as watching video, training with the simulated patient (SP), and so on. However, the drawbacks of the above methods, such as lack of multi-symptoms, lack of active interactions, etc, limit the training effects. To make up them, several kinds of medical training simulators have been developed to improve training effectiveness. However, most of these simulators just focus on mimicking the symptoms. The could not simulate the pathology of diseases. In this paper, we will propose an elbow robot named WKE-2(Waseda Kyotokagaku Elbow Robot No.2) to simulate the symptoms of motor nerve system for neurologic examination training on elbow force examination. In this paper, the mechanism of the elbow robot and physiological neurological model is described. As a sample, the performance of lead-pipe symptoms is introduced. Taking advantage of the robot, the trainee can get a full training on the examination skills and knowledge as well as the understanding of disease effection. Finally, several experiments are performed to verify the proposed robot. The results lead to the consideration that the approach is worth following in further research. 1
Description: This paper is closed access.
Sponsor: This work is partially supported by Waseda GCOE Program, Nansha Scientific Research Project #2014CX07,Natinal Foundation, National High Technology Research and Development Program of China (863 Program) #2014AA020907, 2015 public interest research and capacity building projects, Science and Technology Department of Guangdong, #2014A020221004 and #2014A020215004, Clinical Doctor-Basic Scientist Combination Foundation of Shenzhen Second People's Hospital. 2015; Guang xi key scientific and technological project # 2015BC13056.
Version: Published
DOI: 10.1109/ICInfA.2015.7279361
URI: https://dspace.lboro.ac.uk/2134/20785
Publisher Link: http://dx.doi.org/10.1109/ICInfA.2015.7279361
ISBN: 9781467391047
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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