Medical Healthcare Network Platform and Big Data Analysis Based on Integrated ICT and Data Science with Regulatory Science

Ryuji KOHNO; Takumi KOBAYASHI; Chika SUGIMOTO; Yukihiro KINJO; Matti HÄMÄLÄINEN; Jari IINATTI

doi:10.1587/transcom.2018HMI0001

IEICE TRANSACTIONS on Communications

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Medical Healthcare Network Platform and Big Data Analysis Based on Integrated ICT and Data Science with Regulatory Science

Ryuji KOHNO, Takumi KOBAYASHI, Chika SUGIMOTO, Yukihiro KINJO, Matti HÄMÄLÄINEN, Jari IINATTI

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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.

Publication: IEICE TRANSACTIONS on Communications Vol.E102-B No.6 pp.1078-1087

Publication Date: 2019/06/01

Publicized: 2018/12/19

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2018HMI0001

Type of Manuscript: Special Section INVITED PAPER (Special Section on Healthcare, Medical Information and Communication Technology for Safe and Secure Society)

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Authors

Ryuji KOHNO
  Yokohama National University (YNU),University of Oulu
Takumi KOBAYASHI
  Yokohama National University (YNU)
Chika SUGIMOTO
  Yokohama National University (YNU)
Yukihiro KINJO
  Yokohama National University (YNU)
Matti HÄMÄLÄINEN
  Yokohama National University (YNU),University of Oulu
Jari IINATTI
  University of Oulu

Keyword

medical ICT, body area network (BAN), medical healthcare, big data, machine learning, dependability, regulatory science

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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" in IEICE TRANSACTIONS on Communications, vol. E102-B, no. 6, pp. 1078-1087, June 2019, doi: 10.1587/transcom.2018HMI0001.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018HMI0001/_p

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@ARTICLE{e102-b_6_1078,
author={Ryuji KOHNO, Takumi KOBAYASHI, Chika SUGIMOTO, Yukihiro KINJO, Matti HÄMÄLÄINEN, Jari IINATTI, },
journal={IEICE TRANSACTIONS on Communications},
title={Medical Healthcare Network Platform and Big Data Analysis Based on Integrated ICT and Data Science with Regulatory Science},
year={2019},
volume={E102-B},
number={6},
pages={1078-1087},
abstract={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.},
keywords={},
doi={10.1587/transcom.2018HMI0001},
ISSN={1745-1345},
month={June},}

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TY - JOUR
TI - Medical Healthcare Network Platform and Big Data Analysis Based on Integrated ICT and Data Science with Regulatory Science
T2 - IEICE TRANSACTIONS on Communications
SP - 1078
EP - 1087
AU - Ryuji KOHNO
AU - Takumi KOBAYASHI
AU - Chika SUGIMOTO
AU - Yukihiro KINJO
AU - Matti HÄMÄLÄINEN
AU - Jari IINATTI
PY - 2019
DO - 10.1587/transcom.2018HMI0001
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2019
AB - 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.
ER -

IEICE TRANSACTIONS on Communications