A Reconfigurable Wireless Environment for ECG Monitoring and Encryption

Author:

Amira Abbes1,Saghir Mazen A. R.2,Ramzan Naeem1,Grecos Christos1,Scherb Florian3

Affiliation:

1. School of Computing, University of the West of Scotland, Paisley, United Kingdom

2. Electrical and Computer Engineering Program, Texas A&M University at Qatar, Qatar

3. NIBEC, University of Ulster, Northern Ireland

Abstract

Connected health is the convergence of medical devices, security devices, and communication technologies. It enables patients to be monitored and treated remotely from their home or primary care facility rather than attend outpatient clinics or be admitted to hospital. Patients’ data and medical records within a connected health system should be securely transmitted and saved for further analysis and diagnosis. This paper presents a reconfigurable wireless system for electrocardiogram (ECG) monitoring which can be deployed in a connected health environment. Efficient field programmable gate array (FPGA) implementation for the ECG encryption block has been carried out on the RC10 prototyping board using the advanced encryption standard (AES) algorithm. Results presented have shown that the proposed AES implementation outperforms the existing FPGA-based systems in different key performance metrics and that ECG signals acquired using the VitalSens device can be encrypted/decrypted in real-time. A software based evaluation approach has been also performed to validate the proposed hardware implementation. The proposed solution can be deployed for electronic archiving of health records information systems and health monitoring technologies in personalized medicine.

Publisher

IGI Global

Subject

General Computer Science

Reference31 articles.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improved Security Approach Based on AES Algorithm for LST Retrieval Using Satellite Imagery in Radiation-Tolerant FPGAs;International Journal of Embedded and Real-Time Communication Systems;2022-06-29

2. ECG encryption and identification based security solution on the Zynq SoC for connected health systems;Journal of Parallel and Distributed Computing;2017-08

3. Enhanced Biometric Security and Privacy Using ECG on the Zynq SoC;Signal Processing for Security Technologies;2016-12-24

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