ECG encryption and identification based security solution on the Zynq SoC for connected health systems

TL;DR

This paper introduces a secure connected health system utilizing AES encryption and ECG identification, implemented efficiently on Zynq SoC, ensuring real-time processing with low resource and power consumption.

Contribution

It presents novel hardware implementations of AES and ECG identification algorithms on Zynq SoC for secure, real-time connected health applications.

Findings

ECG sample processed in 10.71 ms

Uses only 30% hardware resources

Power consumption is 107 mW

Abstract

Connected health is a technology that associates medical devices, security devices and communication technologies. It enables patients to be monitored and treated remotely from their home. Patients' data and medical records within a connected health system should be securely stored and transmitted for further analysis and diagnosis. This paper presents a set of security solutions that can be deployed in a connected health environment, which includes the advanced encryption standard (AES) algorithm and electrocardiogram (ECG) identification system. Efficient System-on-Chip (SoC) implementations for the proposed algorithms have been carried out on the Xilinx ZC702 prototyping board. The Achieved hardware implementation results have shown that the proposed AES and ECG identification based system met the real-time requirements and outperformed existing field programmable gate array (FPGA)-based systems in different key performance metrics such as processing time, hardware resources and power consumption. The proposed systems can process an ECG sample in 10.71 ms and uses only 30% of the available hardware resources with a power consumption of 107 mW.