Identifying Characteristic Physiological Patterns of Mentally Disease Patients using Analysis of Plethysmograms, and its Applications

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K12304
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Home economics/Human life
• Research Institution: Osaka University
• Principal Investigator: Miyoshi Emako 大阪大学, 人間科学研究科, 教授 (60294170)
• Research Collaborator: HU Yuyu ; OYAMA Mayumi
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 心理学 / 脈波 / カオス / 非線形理論 / 数理医学 / うつ病診断

Outline of Final Research Achievements

Pulse waves are important life signals, thus, the preliminaries concerning pulse waves are given, which includes the chaos theory as the theoretical basis for this technology, the basic principles of pulse waves, and the indexes we used, namely, the Largest Lyapunov Exponent (LLE) and the Autonomic Nervous Balance (ANB). Through the measurement and the analysis of the result, we have found that metal patients show a higher LLE while a lower ANB than normal individuals, which provides a possible method to judge whether one suffers mental illnesses or not. Meanwhile, this result implies a distinctive feature of mental illness sufferers: unwillingness to communicate while unable to keep their composure. Moreover, by differentiating twice the data of the pulse waves, we obtained the data of acceleration. We could analyze the relationship between mental pressure and error rate, and provide evidence of the correlation between LLE and the extent of mental and physical fatigue.

Free Research Field

実践志向型地域研究による環境問題の課題解決