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Merging RFID and Blockchain Technologies to Accelerate Big Data Medical Research Based on Physiological Signals
The proliferation of physiological signals acquisition and monitoring system, has led to an explosion in physiological signals data. Additionally, RFID systems, blockchain technologies, and the fog computing mechanisms have significantly increased the availability of physiological signal information...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178520/ https://www.ncbi.nlm.nih.gov/pubmed/32351676 http://dx.doi.org/10.1155/2020/2452683 |
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author | Chen, Xiuqing Zhu, Hong Geng, Deqin Liu, Wei Yang, Rui Li, Shoudao |
author_facet | Chen, Xiuqing Zhu, Hong Geng, Deqin Liu, Wei Yang, Rui Li, Shoudao |
author_sort | Chen, Xiuqing |
collection | PubMed |
description | The proliferation of physiological signals acquisition and monitoring system, has led to an explosion in physiological signals data. Additionally, RFID systems, blockchain technologies, and the fog computing mechanisms have significantly increased the availability of physiological signal information through big data research. The driver for the development of hybrid systems is the continuing effort in making health-care services more efficient and sustainable. Implantable medical devices (IMD) are therapeutic devices that are surgically implanted into patients' body to continuously monitor their physiological parameters. Patients treat cardiac arrhythmia due to IMD therapeutic and life-saving benefits. We focus on hybrid systems developed for patient physiological signals for collection, storage protection, and monitoring in critical care and clinical practice. In order to provide medical data privacy protection and medical decision support, the hybrid systems are presented, and RFID, blockchain, and big data technologies are used to analyse physiological signals. |
format | Online Article Text |
id | pubmed-7178520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-71785202020-04-29 Merging RFID and Blockchain Technologies to Accelerate Big Data Medical Research Based on Physiological Signals Chen, Xiuqing Zhu, Hong Geng, Deqin Liu, Wei Yang, Rui Li, Shoudao J Healthc Eng Research Article The proliferation of physiological signals acquisition and monitoring system, has led to an explosion in physiological signals data. Additionally, RFID systems, blockchain technologies, and the fog computing mechanisms have significantly increased the availability of physiological signal information through big data research. The driver for the development of hybrid systems is the continuing effort in making health-care services more efficient and sustainable. Implantable medical devices (IMD) are therapeutic devices that are surgically implanted into patients' body to continuously monitor their physiological parameters. Patients treat cardiac arrhythmia due to IMD therapeutic and life-saving benefits. We focus on hybrid systems developed for patient physiological signals for collection, storage protection, and monitoring in critical care and clinical practice. In order to provide medical data privacy protection and medical decision support, the hybrid systems are presented, and RFID, blockchain, and big data technologies are used to analyse physiological signals. Hindawi 2020-04-14 /pmc/articles/PMC7178520/ /pubmed/32351676 http://dx.doi.org/10.1155/2020/2452683 Text en Copyright © 2020 Xiuqing Chen et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Chen, Xiuqing Zhu, Hong Geng, Deqin Liu, Wei Yang, Rui Li, Shoudao Merging RFID and Blockchain Technologies to Accelerate Big Data Medical Research Based on Physiological Signals |
title | Merging RFID and Blockchain Technologies to Accelerate Big Data Medical Research Based on Physiological Signals |
title_full | Merging RFID and Blockchain Technologies to Accelerate Big Data Medical Research Based on Physiological Signals |
title_fullStr | Merging RFID and Blockchain Technologies to Accelerate Big Data Medical Research Based on Physiological Signals |
title_full_unstemmed | Merging RFID and Blockchain Technologies to Accelerate Big Data Medical Research Based on Physiological Signals |
title_short | Merging RFID and Blockchain Technologies to Accelerate Big Data Medical Research Based on Physiological Signals |
title_sort | merging rfid and blockchain technologies to accelerate big data medical research based on physiological signals |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178520/ https://www.ncbi.nlm.nih.gov/pubmed/32351676 http://dx.doi.org/10.1155/2020/2452683 |
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