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Design of QRS Detection and Heart Rate Estimation System on FPGA

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Advances in Computing and Communications (ACC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 193))

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Abstract

Electrocardiogram (ECG) is a representative signal containing information of the heart. The main tasks in ECG signal analysis are the detection of QRS complex & the estimation of instantaneous heart rate by measuring the time interval between two consecutive R-waves. An algorithm based on wavelet transforms which uses the quadrature spline wavelet for the detection of QRS complex is developed & implemented on FPGA. The proposed system can operate at a maximum throughput of 52.662 MSamples/sec in the real time, while the sampling rate of ECG signal is only few hundred samples/sec. Thus the system can work on both online and offline at maximum possible throughput.

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Author information

Authors and Affiliations

  1. Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati, India

    Sudheer Kurakula, A. S. D. P. Sudhansh, Roy Paily & S. Dandapat

Authors
  1. Sudheer Kurakula
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  2. A. S. D. P. Sudhansh
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  3. Roy Paily
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  4. S. Dandapat
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Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Auburn, 98071-2259, Washington, USA

    Ajith Abraham

  2. Departamento de Comunicaciones, Universidad Politcnica de Valencia, 46071, Valencia, Spain

    Jaime Lloret Mauri

  3. Avaya Labs Research, Basking Ridge, NJ, USA

    John F. Buford

  4. University of Massachusetts, 100 Morrissey Blvd., 02125-3393, Boston, MA, USA

    Junichi Suzuki

  5. Rajagiri School of Engineering and Technology, Rajagiri Valley Kakkanad, 682 039, Kochi, India

    Sabu M. Thampi

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© 2011 Springer-Verlag Berlin Heidelberg

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Kurakula, S., Sudhansh, A.S.D.P., Paily, R., Dandapat, S. (2011). Design of QRS Detection and Heart Rate Estimation System on FPGA. In: Abraham, A., Mauri, J.L., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22726-4_18

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  • DOI: https://doi.org/10.1007/978-3-642-22726-4_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22725-7

  • Online ISBN: 978-3-642-22726-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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