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

Research Project

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
Project Status	Completed (Fiscal Year 2014)
Budget Amount *help	¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000) Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000) Fiscal Year 2013: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Keywords	姿勢推定 / エアマットレス / 褥瘡予防 / 体圧分布センサ
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.