A Mental Health Self-Check System using Nonlinear Analysis of Pulse Waves

Previously, we demonstrated that simple, low-cost measurement of an individual's mental health is possible using nonlinear analysis of pulse waves. Here we introduce a trial system that records and assesses the relationship between mental health and lifestyle habits. Our goal was to develop a system that allows individuals to decide which steps to take for recovery when they develop worrying mental health symptoms, by making comparisons to their past lifestyle habits. This system also allows records of multiple individuals to be entered into a database and analyzed. Such analysis should allow for the creation of indicators for general levels of mental health that may require intervention, as well as the creation of more concrete, practical advice to aid recovery when worrying symptoms appear.

• Type: Conference
• Year: 2008
• Where: ICSOFT
• Authors: Mayumi Oyama-Higa, Kazuo Sato, Kazuyoshi Tanaka, Takahiro Miyagi
• Keywords: ICSOFT 2008, Individual's Mental Health, Lifestyle Habits, Mental Health, Software Engineering