CARDIAC PATHOLOGIES DETECTION OVER FPGA USING ELECTROCARDIOGRAM

Ariadna Vázquez-Sedano, Santiago T. Pérez-Suárez, Carlos M. Travieso-González, Jesús B. Alonso-Hernández

2012

Abstract

In this work is presented an implementation of an automatic detection system for the heart diseases over a field programmable gate array (FPGA). The system is able to process, analyse and classify the cardiac pathologies in real time from electrocardiogram (ECG). These algorithms principally are based on Digital Wavelet Transform (DWT) techniques, and Principal Component Analysis (PCA). Finally, cardiac pulse detection and classification algorithms have been implemented in an Artificial Neural Network (ANN). Furthermore, the subjectivity problem in the heart disease diagnosis is solved, and the task of heart specialist is facilitated.

References

  1. WHO, 2011.World Health Organization. Cardiovascular Diseases (CVDs). Last view: 07/17/2011. http://www.who.int/mediacentre/factsheets/fs317.
  2. Lee, D., Bhardwaj, S., Alasaarela, E., Wan Young, Ch., 2007. An ECG Analysis on Sensor Node for Reducing Traffic Overload in u-Healthcare with Wireless Sensor Network.In IEEE SENSOR 2007 Conference.IEEE.
  3. Gu-Young, J., Kee-Ho, Y., 2007.Development of Ambulatory ECG Monitoring Device with ST Shape Classification. In ICCAS'07, International Conference on Control, Automatic and Systems.IEEE.
  4. MIT-BIH DB, 2011. Massachusetts Institute of Technology -Beth Israel Hospital Database.
  5. Last View: 07/16/2011. http://physionet.org/physiobank/ database/mitdb/
  6. Chen, T., Zheng, Y., Han, L., Guao, P., He, X., 2008. The Sorting Method of ECG Signlas Based on Neural Network. In ICBBE 2008, 2nd International Conference on Bioinformatics and Biomedical Engineering.IEEE.
  7. Pérez, S., Vásquez, J., Ticay, J., Alonso, J., Travieso, C., 2011. Artificial Neural Network in FPGA for Pejibaye Palm Classification using Molecular Markers. In EUROCAST 2011, 13th International Conference on Computer Aided System Theory.IUCTC.
  8. Xilinx, 2011. http://www.xilinx.com/tools/sysgen.htm.
  9. MathWorks, 2011. Last view: 09/01/2011. http://www.mathworks.es/index.html
  10. Pardo, F., Boluda, J., 2004. VHDL.Language for synthesis and model circuits. Ra-Ma Editorial, 2nd edition.
  11. Ballesteros, D., 2004. FIR Filter Design on FPGA for Wavelet Background Noise Removal in Bioelectric Signals. Last view: 08/03/2011. http://redalyc. uaemex.mx.
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Paper Citation


in Harvard Style

Vázquez-Sedano A., T. Pérez-Suárez S., M. Travieso-González C. and B. Alonso-Hernández J. (2012). CARDIAC PATHOLOGIES DETECTION OVER FPGA USING ELECTROCARDIOGRAM . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 360-364. DOI: 10.5220/0003766403600364


in Bibtex Style

@conference{biosignals12,
author={Ariadna Vázquez-Sedano and Santiago T. Pérez-Suárez and Carlos M. Travieso-González and Jesús B. Alonso-Hernández},
title={CARDIAC PATHOLOGIES DETECTION OVER FPGA USING ELECTROCARDIOGRAM},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={360-364},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003766403600364},
isbn={978-989-8425-89-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - CARDIAC PATHOLOGIES DETECTION OVER FPGA USING ELECTROCARDIOGRAM
SN - 978-989-8425-89-8
AU - Vázquez-Sedano A.
AU - T. Pérez-Suárez S.
AU - M. Travieso-González C.
AU - B. Alonso-Hernández J.
PY - 2012
SP - 360
EP - 364
DO - 10.5220/0003766403600364