Merging RFID and Blockchain Technologies to Accelerate Big Data Medical Research Based on Physiological Signals
Joint Authors
Chen, Xiuqing
Zhu, Hong
Geng, Deqin
Liu, Wei
Yang, Rui
Li, Shoudao
Source
Journal of Healthcare Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-14
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Chen, Xiuqing& Zhu, Hong& Geng, Deqin& Liu, Wei& Yang, Rui& Li, Shoudao. 2020. Merging RFID and Blockchain Technologies to Accelerate Big Data Medical Research Based on Physiological Signals. Journal of Healthcare Engineering،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1186227
Modern Language Association (MLA)
Chen, Xiuqing…[et al.]. Merging RFID and Blockchain Technologies to Accelerate Big Data Medical Research Based on Physiological Signals. Journal of Healthcare Engineering No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1186227
American Medical Association (AMA)
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. Journal of Healthcare Engineering. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1186227
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186227