Online posture estimation using pressure distribution on air mattress for pressure ulcer prevention

2014 Fiscal Year Final Research Report

• Project/Area Number: 25560280
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Rehabilitation science/Welfare engineering
• Research Institution: The University of Tokyo
• Principal Investigator: NOGUCHI Hiroshi 東京大学, 医学(系)研究科(研究院), 助教 (50431797)
• Co-Investigator(Kenkyū-buntansha): TAMAI Nao 東京大学, 大学院医学系研究科, 助教 (80636788) ; YOSHIDA Mikako 東京大学, 大学院医学系研究科, 特任助教 (40382957) ; SANADA Hiromi 東京大学, 大学院医学系研究科, 教授 (50143920)
• Project Period (FY): 2013-04-01 – 2015-03-31
• Keywords: 姿勢推定 / エアマットレス / 褥瘡予防

Outline of Final Research Achievements

We constructed methods for estimation of body sinking distance and postures on an air mattress using pressure distribution sensors. The body sinking distance is estimated based on investigated non-linear relationship between pressure values and sinking distances. The posture is estimated by using machine learning technique. The distance estimation method was evaluated based on the dataset that includes body sinking distance during head of bed elevation. We also prepared dataset about posture dataset on supine, right and left lateral position, 30-degree and maximum inclination of bed. The experiment demonstrated that our method had good performance.

Free Research Field

看護工学