| Project/Area Number |
18K17428
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 58050:Fundamental of nursing-related
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| Research Institution | Shimane University |
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Principal Investigator |
Miyamoto Mayumi 島根大学, 学術研究院医学・看護学系, 講師 (80551746)
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| Project Period (FY) |
2018-04-01 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2020: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 転倒予防 / 離床 / 検知 / システム / 入院患者 / 夜間 / 行動 / 定量化 / 転倒リスク / 入院高齢者 / 見守りシステム |
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| Outline of Final Research Achievements |
Various sensors are used in hospitals as a measure to prevent patients from falling. The purpose of this study was to fabricate and validate a system that captures the movements of people and objects on the bed and detects behaviors that lead to bed disentanglement at an early stage. In the system, a criterion was set for the amount of movement that corresponds to whole-body movement. The system was then designed to detect and record when the criteria were exceeded. As a result, the system was able to detect bed release more than 85% of the time. On the other hand, it was confirmed that there were many false positives depending on the patient. This suggested the need to review patient selection and detection criteria.
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| Academic Significance and Societal Importance of the Research Achievements |
夜間就寝時に、臥床状態から起き上がって離床に至るには全身の動きを伴う。この全身の動作量は、寝返りや体の一部を動かす動作量よりも大きい。本システムでは、動作量を画面の点の数で数値化した。離床につながる全身動作を選択的に検知することで離床を早期に把握することが可能となる点で意義がある。この検出方法を活用して、今後、看護師が持つ端末に通知する仕組みを作るなど様々な展開が期待される。
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