[W1/2.5] – Brown 1
Cutting Edge Data Science integrated between Healthcare Devices and Nutrition informatics



In recent year, life-related diseases are increasing in middle age and elderly. The prevention and prediction of diseases are important issues to improve the quality of life. Physical activity and nutrition play an important role in long-term health and disease. Additionally, the popularization of wearable biomedical sensors provides a -new angle of monitoring people’s physiological and psychology wellbeing, which have chosen the relation with the nutrition in every day. A flood of information about nutrition and diet can be easily extracted from books, health providers or mobile applications. Both diet monitoring and food database create a remarkable amount of data, and with effective construction and management of the related information, it will be of great help in problem solving and decision making for personal healthcare. This workshop will provide 1) the monitoring of diet, nutrition and physical exercise to a healthy lifestyle, unimpaired aging. The talk introduces the endeavor on the integration of nutrition and personal healthcare. New sensing technique for vital sign monitoring is introduced and then trails we have made so far to reveal the influence of nutrition on physiological conditions will be illustrated. 2) Metabolome database targeting food and medicinal crude drugs for preventing disease. 3) The prevention and management of chronic diseases with use of metabolome database. 4) Daily habit and energy intake and consumptions. 5) Cognitive structure and memory function by keeping the healthy condition. We evaluated the correlation between the diffusion tensor magnetic resonance imaging (DT-MRI) of the brain white matter, proton magnetic resonance spectroscopy (1H-MRS) and the Wechsler Memory Scale-Revised (WMS-R) score in terms of healthy individuals.


Toshiyo Tamura
Shigehiko Kanaya

List of Speakers

Toshiyo Tamura, Osaka Electro-Communication University, tamurat@isc.osakac.ac.jp
Shigehiko Kanaya, Nara Institute of Science and Technology, skanaya@gtc.naist.jp
Klaus Lange, University of Regensburg, klaus.lange@ur.de
Ming Huang, Nara Institute of Science and Technology, alex-mhuang@is.naist.jp
Tetsuo Sato, Nara Institute of Science and Technology, tsato@is.naist.jp