2021 Fiscal Year Final Research Report
Construction of a fall prediction system based on gait assessment for prevention of falls in stroke patients.
Project/Area Number |
19K19882
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Research Category |
Grant-in-Aid for Early-Career Scientists
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Allocation Type | Multi-year Fund |
Review Section |
Basic Section 59010:Rehabilitation science-related
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Research Institution | Nagano University of Health and Medicine (2021) Japan University of Health Sciences (2019-2020) |
Principal Investigator |
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Project Period (FY) |
2019-04-01 – 2022-03-31
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Keywords | 脳卒中 / 歩行 / 転倒 / 歩行非対称性 |
Outline of Final Research Achievements |
Falls in stroke patients occur most frequently while walking. Decreased walking ability is a risk factor for falls. Prediction of falls based on gait assessment is important to prevent falls in stroke patients. Therefore, we considered the prediction of falls based on "kinematic gait asymmetry" using joint angles during gait. The gait index we developed can capture gait in more detail and comprehensively. This study revealed that (1) stroke patients show significant kinematic gait asymmetry in the hip, knee, and ankle joints compared to healthy adults, (2) kinematic gait asymmetry in the hip and knee joints is associated with walking speed, balance, and daily living activities, and (3) kinematic gait asymmetry in the hip and knee joints is associated with fear of falling.
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Free Research Field |
リハビリテーション
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Academic Significance and Societal Importance of the Research Achievements |
本研究の結果は,脳卒中患者のリハビリテーション場面で主観的に評価されていた歩容を定量化したことで今後のデータ蓄積に貢献できると考える.今回示した運動学的歩行非対称性が臨床指標と関連したことから,歩行能力や日常生活活動を改善するための歩行リハビリテーション戦略の一助になりえる.また,運動学的歩行非対称性が転倒との直接的な関連はないものの転倒恐怖感と関連したことは,歩行評価に基づく転倒予測システム構築に向けて貴重なデータとなったと考える.
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