• DocumentCode
    2536600
  • Title

    An Efficient Algorithm and Embedded Multicore Implementation of ECG Analysis in Multi-lead Electrocardiogram Records

  • Author

    Ben Abdallah, Asma ; Haga, Yasuyoshi ; Kuroda, Kenichi

  • Author_Institution
    Adaptive Syst. Lab., Univ. of Aizu, Fukushima, Japan
  • fYear
    2010
  • fDate
    13-16 Sept. 2010
  • Firstpage
    99
  • Lastpage
    103
  • Abstract
    Electrocardiography (ECG) is an interpretation of the electrical activity of the heart over time captured and externally recorded by electrodes. An effective approach to speed up this and other biomedical operations is to integrate a very high number of processing elements in a single chip so that the massive scale of fine-grain parallelism inherent in several biomedical applications can be exploited efficiently. In this paper, we exploit parallel processing techniques to process electrocardiography computation kernels in parallel. We present an efficient ECG analysis algorithm based on Period-Peak Detection (PPD) approach. The system is implemented in a multicore System-on-Chip. System architecture and evaluation results are given in detail.
  • Keywords
    biomedical electronics; electrocardiography; embedded systems; multiprocessing systems; parallel processing; system-on-chip; ECG analysis algorithm; PPD approach; electrocardiography computation kernel processing; electrodes; embedded multicore implementation; fine-grain parallelism; multicore system-on-chip; multilead electrocardiogram records; parallel processing techniques; period-peak detection approach; system architecture; Algorithm design and analysis; Computer architecture; Correlation; Electrocardiography; Finite impulse response filter; Heart; Monitoring; electrocardiography; embedded; multicore; parallel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Workshops (ICPPW), 2010 39th International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1530-2016
  • Print_ISBN
    978-1-4244-7918-4
  • Electronic_ISBN
    1530-2016
  • Type

    conf

  • DOI
    10.1109/ICPPW.2010.25
  • Filename
    5599215