University of Oulu

Ryuji KOHNO, Takumi KOBAYASHI, Chika SUGIMOTO, Yukihiro KINJO, Matti HÄMÄLÄINEN, Jari IINATTI, Medical Healthcare Network Platform and Big Data Analysis Based on Integrated ICT and Data Science with Regulatory Science, IEICE Transactions on Communications, 2019, Volume E102.B, Issue 6, Pages 1078-1087, Released June 01, 2019, [Advance publication] Released December 19, 2018, Online ISSN 1745-1345, Print ISSN 0916-8516,,

Medical healthcare network platform and big data analysis based on integrated ICT and data science with regulatory science

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Author: Kohno, Ryuji1,2,3; Kobayashi, Takumi1; Sugimoto, Chika1,2;
Organizations: 1Center for Future Medical Social Infrastructure Based on Information Communications Technology, Yokohama National University (YNU), Yokohama-shi, 240-8501 Japan
2Graduate School of Engineering, Yokohama National University (YNU), Yokohama-shi, 240-8501 Japan
3Centre for Wireless Communications (CWC), University of Oulu, FI-90014 Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 4.3 MB)
Persistent link:
Language: English
Published: Institute of Electronics, Information and Communication Engineers, 2019
Publish Date: 2019-09-01


This paper provides perspectives for future medical healthcare social services and businesses that integrate advanced information and communication technology (ICT) and data science. First, we propose a universal medical healthcare platform that consists of wireless body area network (BAN), cloud network and edge computer, big data mining server and repository with machine learning. Technical aspects of the platform are discussed, including the requirements of reliability, safety and security, i.e., so-called dependability. In addition, novel technologies for satisfying the requirements are introduced. Then primary uses of the platform for personalized medicine and regulatory compliance, and its secondary uses for commercial business and sustainable operation are discussed. We are aiming at operate the universal medical healthcare platform, which is based on the principle of regulatory science, regionally and globally. In this paper, trials carried out in Kanagawa, Japan and Oulu, Finland will be revealed to illustrate a future medical healthcare social infrastructure by expanding it to Asia-Pacific, Europe and the rest of the world. We are representing the activities of Kanagawa medical device regulatory science center and a joint proposal on security in the dependable medical healthcare platform. Novel schemes of ubiquitous rehabilitation based on analyses of the training effect by remote monitoring of activities and machine learning of patient’s electrocardiography (ECG) with a neural network are proposed and briefly investigated.

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Series: IEICE transactions on communications. B
ISSN: 0916-8516
ISSN-E: 1745-1345
ISSN-L: 0916-8516
Volume: 102-B
Issue: 6
Pages: 1078 - 1087
DOI: 10.1587/transcom.2018HMI0001
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Copyright information: © 2019 The Institute of Electronics, Information and Communication Engineers. This is the published version of the following article: IEICE Trans. Commun., Vol. E102–B, No. 6 June 2019 p. 1078-1087, which has been published in final form at