Merging RFID and Blockchain Technologies to Accelerate Big Data Medical Research Based on Physiological Signals.

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ID: 105755
2020
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Abstract
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.
Reference Key
chen2020mergingjournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Chen, Xiuqing;Zhu, Hong;Geng, Deqin;Liu, Wei;Yang, Rui;Li, Shoudao;
Journal journal of healthcare engineering
Year 2020
DOI
10.1155/2020/2452683
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Keywords Keywords not found

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