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contributor authorKakizaki, Takao
contributor authorEndo, Mai
contributor authorUrii, Jiro
contributor authorEndo, Mitsuru
date accessioned2017-11-25T07:20:33Z
date available2017-11-25T07:20:33Z
date copyright2017/18/7
date issued2017
identifier issn1530-9827
identifier otherjcise_017_03_031014.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236531
description abstractThe importance of physiotherapy is becoming more significant with the increasing number of countries with aging populations. Thus, the education of physiotherapists is a crucial concern in many countries. Information and communications technologies, such as motion capture systems, have been introduced to sophisticate the training methods used in physiotherapy. However, the methods employed in most training schools for physiotherapists and occupational therapists remain dependent on more conventional materials. These materials include conventional textbooks with samples of traditional gait motion photographs and video archives of patients' walking motion. Actual on-site clinical training is also utilized in current physiotherapy education programs. The present paper addresses an application of a previously developed digital human model called the kinematic digital human (KDH) to physiotherapy education with a focus on improving students' understanding of the gait motion of disabled patients. KDH models for use in physiotherapy were constructed based on Rancho Los Amigos National Rehabilitation Center (RLANRC) terminology, which is considered the preferred standard among clinicians. The developed KDH models were employed to allow the three-dimensional visualization of the gait motion of a hemiplegic patient.
publisherThe American Society of Mechanical Engineers (ASME)
titleApplication of Digital Human Models to Physiotherapy Training
typeJournal Paper
journal volume17
journal issue3
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4036991
journal fristpage31014
journal lastpage031014-16
treeJournal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 003
contenttypeFulltext


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