NDLI: Development of a nursing self-training system for transferring patient from bed to wheelchair

Content Provider	IEEE Xplore Digital Library
Author	Zhifeng Huang Nagata, A. Kanai-Pak, M. Maeda, J. Kitajima, Y. Nakamura, M. Aida, K. Kuwahara, N. Ogata, T. Ota, J.
Copyright Year	2012
Description	Author affiliation: Department of Precision Engineering, School of Engineering, the University of Tokyo, Tokyo, Japan (Zhifeng Huang; Nagata, A.) \|\| Faculty of Nursing, Tokyo Ariake University of Medical and Health Sciences, Tokyo, Japan (Kanai-Pak, M.; Maeda, J.; Kitajima, Y.; Nakamura, M.; Aida, K.) \|\| Department of Advanced Fibro-Science, Kyoto Insititute of Technology, Kyoto, Japan (Kuwahara, N.) \|\| Research into Artifacts, Center for Engineering (RACE), the University of Tokyo, Chiba, Japan (Ogata, T.; Ota, J.)
Abstract	In this paper, a self-training system was developed for assisting the student nurses to improve their skills of transferring patients from a bed to a wheelchair. The twenty evaluation items corresponding to the skills were defined through the theory of nursing care and the experience of nursing teachers. In addition, the evaluation parameters of each item were defined. The system employed two depth camera sensors, Kinect, to measure the movement of trainee and patient. Several color marks were attached on their joints and the 3D position of these color marks were calculated by the proposed method which uses the depth data and the RGB color data. Furthermore, to automatically evaluate, a motion recognition method based on time sequence and the features of the 3D trajectory of patient's head were proposed. Using this system, we determined the thresholds of the evaluation items' parameters by a preliminary experiment in which nursing teachers and student nurses participated. Finally, an experiment to validate the system was conducted. Performance of 5 student nurses was evaluated by the teachers and system, respectively. Using the teacher's evaluation as the benchmark, the accuracy of the system is up to 85 %.
Starting Page	246
Ending Page	254
File Size	935051
Page Count	9
File Format	PDF
ISBN	9781467322591
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-20
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	SICE
Subject Keyword	Wheelchairs Image color analysis Medical services Cameras Head Trajectory Sensors image processing Nursing self-training system automatically
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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