2013 Fiscal Year Final Research Report
A new medical care information by disease severity prediction algorithm for lumbar column stenosis
Project/Area Number |
24659674
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Single-year Grants |
Research Field |
Orthopaedic surgery
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Research Institution | Kyoto University |
Principal Investigator |
AOYAMA Tomoki 京都大学, 医学(系)研究科(研究院), 准教授 (90378886)
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Co-Investigator(Kenkyū-buntansha) |
根尾 昌志 京都大学, 准教授 (80311736)
山田 実 京都大学, 助教 (30525572)
岡本 和也 京都大学, 講師 (60565018)
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Project Period (FY) |
2012-04-01 – 2014-03-31
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Keywords | 腰部脊柱管狭窄症 / 歩行 / 間欠性跛行 / 可視化 / 医療情報 |
Research Abstract |
Spinal column stenosis is a disease developed by aging-related change. By constant distance walks, intermittent claudication such as sharp pain, numbness occur to the lower limbs appears and walking becomes difficult. However the assessment of intermittent claudication was based on a subjective evaluation of patient oneself until now. In this study the walking of the intermittent claudication in spinal column stenosis patient was quantified, and established the new medical care information that integrated quantified walking data and clinical data.
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Research Products
(11 results)
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[Presentation] Daily assessment tool of disease activity of rheumatoid arthritis by using a smartphone application : a feasibility study2013
Author(s)
Nishiguchi S, Ito H, Yamada M, Yoshitomi H, Furu M, Ito T, Shinohara A, Ura T,Okamoto K,Aoyama T, Tsuboyama T
Organizer
The 18th International Society of Telemedicine & e Health International Conference
Place of Presentation
Takamatsu, Japan
Year and Date
20131018-19
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[Presentation] Development of lifelog sharing system for rheumatoid arthritis patients using smartphone2013
Author(s)
Shinohara A, Ito T,Ura T,Nishiguchi S, Ito H, Yamada M, Yoshitomi H, Furu M, Okamoto K, Aoyama T
Organizer
35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Place of Presentation
Osaka, Japan
Year and Date
20130603-07
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