Neuroscience Nursing Assessment of Facial Features Using Text Mining Analysis of Three-Dimensional Average Facial Images in Patients with Post-Acute Stroke

2016 Fiscal Year Final Research Report

• Project/Area Number: 16K15886
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Fundamental nursing
• Research Institution: University of Human Arts and Sciences
• Principal Investigator: ITO KEIICHI 人間総合科学大学, 保健医療学部, 教授(移行) (00191883)
• Research Collaborator: TAYAMA Rie 東京都リハビリテーション病院, 看護師長 ; IMAJO Hiroko 東京都リハビリテーション病院, 看護師長 ; KANESASHI Rumiko 東京都リハビリテーション病院, 看護師長 ; WADA Rei 五反田リハビリテーション病院, 看護部長 ; YANAGIHARA Koji 東京都リハビリテーション病院, 医師
• Project Period (FY): 2016-04-01 – 2017-03-31
• Keywords: 三次元平均顔 / テキストマイニング / 脳血管障害 / 顔印象評価

Outline of Final Research Achievements

Changes in facial impressions of rehabilitative patients with post-acute stroke, as assessed using average faces, appear to be useful for assessment in neuroscience nursing. Using a tool for facial image processing, we produced 3-dimensional average faces of 19 patients (Woman, 10; Man, 9) and then instructed the healthcare workers (Doctor, Nurse, Rehabilitation stuff; n=149) to describe the characteristic changes in facial impressions associated with the recovery process of stroke. In addition, instructed to sort the average faces according to the order of recovery. The results of text mining analysis indicated: 1) healthcare workers who correctly determined the order of recovery noted “upcurved lips” , “keeping focus of eyes”, “eloquent eyes” , “so expressive” , and “healthy complexion”.　2) healthcare workers who could not determined noted “dark circles under eyes”, “nasolabial fold”, “shape of the face”, and “supple skin of the face.

Free Research Field

在宅看護学　地域看護学