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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.
Afiliação
  • Chen X; School of Medicine Information, Xuzhou Medical University, Xu Zhou 221000, China.
  • Zhu H; School of Medicine Information, Xuzhou Medical University, Xu Zhou 221000, China.
  • Geng D; School of Medicine Information, Xuzhou Medical University, Xu Zhou 221000, China.
  • Liu W; School of Medicine Information, Xuzhou Medical University, Xu Zhou 221000, China.
  • Yang R; School of Medicine Information, Xuzhou Medical University, Xu Zhou 221000, China.
  • Li S; School of Medicine Information, Xuzhou Medical University, Xu Zhou 221000, China.
J Healthc Eng ; 2020: 2452683, 2020.
Article em En | MEDLINE | ID: mdl-32351676
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pesquisa Biomédica / Dispositivo de Identificação por Radiofrequência / Big Data / Blockchain / Monitorização Fisiológica Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pesquisa Biomédica / Dispositivo de Identificação por Radiofrequência / Big Data / Blockchain / Monitorização Fisiológica Idioma: En Ano de publicação: 2020 Tipo de documento: Article