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

Public Health
Medicine

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