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DOI: 10.14569/IJACSA.2013.040908
PDF

A Soft Processor MicroBlaze-Based Embedded System for Cardiac Monitoring

Author 1: El Hassan El Mimouni
Author 2: Mohammed Karim

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 9, 2013.

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Abstract: this paper aims to contribute to the efforts of design community to demonstrate the effectiveness of the state of the art Field Programmable Gate Array (FPGA), in the embedded systems development, taking a case study in the biomedical field. With this design approach, we have developed a System on Chip (SoC) for cardiac monitoring based on the soft processor MicroBlaze and the Xilkernel Real Time Operating System (RTOS), both from Xilinx. The system permits the acquisition and the digitizing of the Electrocardiogram (ECG) analog signal, displaying heart rate on seven segments module and ECG on Video Graphics Adapter (VGA) screen, tracing the heart rate variability (HRV) tachogram, and communication with a Personal Computer (PC) via the serial port. We have used the MIT_BIH Database records to test and evaluate our implementation performance. In terms of the resources utilization, the implementation occupies around 70% of the used FPGA, namely the Xilinx Spartan 6 XC6SLX16. The accuracy of the QRS detection exceeds 96%.

Keywords: ECG; FPGA; Heart Rate Variability; MicroBlaze; QRS detection; SoC; Xilkernel

El Hassan El Mimouni and Mohammed Karim, “A Soft Processor MicroBlaze-Based Embedded System for Cardiac Monitoring” International Journal of Advanced Computer Science and Applications(IJACSA), 4(9), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040908

@article{2013,
title = {A Soft Processor MicroBlaze-Based Embedded System for Cardiac Monitoring},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040908},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040908},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {9},
author = {El Hassan El Mimouni and Mohammed Karim}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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