Talks：

New service model of chronic diseases based on the cyber-physical system.

Name：

郭博昭 (Terry B.J. Kuo)

Position：

Professor of Institute of Brain Science

Affiliation：

National Yang-Ming University

Email：

tbjkuo@ym.edu.tw

Photo：

Research Interests：

Autonomic Neuroscience, Sleep Physiology, Neuroscience, Pharmacology Cloud Computing Science, Signal Analysis.

Selected Publications：

◆ Lin, Y. C., Lin, Y. H., Lo, M Z., Peng, C. K., Huang, N. E., Yang, C. C. H. and Kuo, T. B. J.* (2016) Novel application of multi dynamic trend analysis as a sensitive tool for detecting the effects of aging and congestive heart failure on heart rate variability. Chaos 26:023109 ◆ Kuo, T. B. J.†, Li, J. Y.†, Kuo, H. K., Chern, C. M. and Yang, C. C. H.* (2016) Differential changes and interactions of autonomic functioning and sleep architecture before and after 50 years of age. Age 38:5 †:co-first ◆ Lin, Y. H., Lin, Y. C., Lee, Y. H., Lin, P. H., Lin, S. H., Chang, L. R., Tseng, H. W., Yen, L. Y., Yang, C. C. H. and Kuo, T. B. J.* (2015) Time distortion associated with smartphone addiction: identifying smartphone addiction via a mobile application (App) Journal of Psychiatry Research 65:139-145 ◆ Kuo, T. B. J. †, Hong, C. H.†, Hsieh, I. T., Lee, G. S. and Yang C. C. H.* (2014) Effects of cold exposure on autonomic changes during the last REM sleep transition and morning blood pressure surge in humans. Sleep Medicine 15:986-97 †:co-first ◆ Kuo, T. B. J., Chen, C. Y., Hsu, Y. C. and Yang, C. C. H.* (2012) Performance of the frequency domain indices with respect to sleep staging. Clinical Neurophysiology 123:1338-1345

Abstract：

Industry 4.0 is the current trend of automation in manufacturing business. The key technology underlying the industry 4.0 is the cyber-physical system, which integrates Internet of things, cloud computing, and cognitive computing. In terms of medical service, the cyber-physical system also provides an opportunity to the automation that most ancient business facing major challenges in recent years. With the growing of the aging population, the hospitals are now crowded with peoples with various kinds of diseases. With the latest technology of the cyber-physical system, a majority part of the chronic patients is possible to be diagnosed and even treated at home without having to visit the hospitals. With the backgrounds of medicine and computer engineering, Dr. Kuo will share the experiences in remote examination of cardiovascular diseases and sleep disorders, and will discuss the possible service models of these chronic diseases based on the cyber-physical system.