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A multiprocessor system-on-chip for real-time biomedical monitoring and analysis: ECG prototype architectural design space exploration
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ACM Transactions on Design Automation of Electronic Systems (TODAES) archive
Volume 13 ,  Issue 2  (April 2008) table of contents
Article No. 31  
Year of Publication: 2008
ISSN:1084-4309
Authors
Iyad Al Khatib  Royal Institute of Technology, Stockholm, Sweden
Francesco Poletti  University of Bologna, Bologna, Italy
Davide Bertozzi  University of Ferrara, Ferrara, Italy
Luca Benini  University of Bologna, Bologna, Italy
Mohamed Bechara  American University of Beirut, Beirut, Lebanon
Hasan Khalifeh  American University of Beirut, Beirut, Lebanon
Axel Jantsch  Royal Institute of Technology, Stockholm, Sweden
Rustam Nabiev  Karolinska, Stockholm, Sweden
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this article we focus on multiprocessor system-on-chip (MPSoC) architectures for human heart electrocardiogram (ECG) real time analysis as a hardware/software (HW/SW) platform offering an advance relative to state-of-the-art solutions. This is a relevant biomedical application with good potential market, since heart diseases are responsible for the largest number of yearly deaths. Hence, it is a good target for an application-specific system-on-chip (SoC) and HW/SW codesign. We investigate a symmetric multiprocessor architecture based on STMicroelectronics VLIW DSPs that process in real time 12-lead ECG signals. This architecture improves upon state-of-the-art SoC designs for ECG analysis in its ability to analyze the full 12 leads in real time, even with high sampling frequencies, and its ability to detect heart malfunction for the whole ECG signal interval. We explore the design space by considering a number of hardware and software architectural options. Comparing our design with present-day solutions from an SoC and application point-of-view shows that our platform can be used in real time and without failures.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Iyad Al Khatib: colleagues
Francesco Poletti: colleagues
Davide Bertozzi: colleagues
Luca Benini: colleagues
Mohamed Bechara: colleagues
Hasan Khalifeh: colleagues
Axel Jantsch: colleagues
Rustam Nabiev: colleagues