Health Preservation/Preventive Medical Care Project

Health Preservation/Preventive Medical Care Project

Research Lead: Yasushi Matsumura, Professor, Medical Informatics, Graduate School of Medicine, Osaka University

Watching over the first 1,000 days of life

Our mission is to alleviate mothers’ anxiety during pregnancy and child-rearing. Towards this end, we design a new AI-based personal assistant system that supports child-rearing by providing personalized coaching and by tracking and improving the mother’s physical/mental condition.

In this project, we will track women and their babies for a total of 1000 days, from conception to their 2nd birthday. We will collect not only PHR in the hospital (such as pregnant women's and babies’ checkup data), but also daily life data both of mothers and children using smartphone and various IoT devices. Our engineering group will create new IoT devices such as child-rearing support robots that collect daily life data, assess the users’ condition and provide various types of advice using AI. In this project, daily life data consists of sleeping habits, dietary habits, mental and physical condition, and even babies’ crying voices.

Using this daily life data, our system will assess mothers’ and children’s life style/habits, health condition and (mother-child) relationship, and provide personalized coaching for managing their physical/mental condition during pregnancy and child-rearing.

Elderly monitoring project

In this project, we aim to create a “smart aging society” where people can live longer while staying healthy. Specifically, we approach this goal by preventing dementia. This project especially targets elderly people living alone with physical infirmness or mild cognitive impairment. We develop a framework for preventive interventions for physical and cognitive inactivity, sleep disorder, and heat illness in the indoor environment.

Heart failure prevention project

In this project, we aim to develop a home healthcare system for patients with chronic heart failure. This system will recognize the early signs of heart failure progression and will provide remotely supervised home-based cardiac rehabilitation, which has been conventionally available only at medical institutions.