  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.
