Skip to main content
SpringerLink
Log in

Detection of Variations in HRV Using Discrete Wavelet Transform for Seizure Detection Application

  • Conference paper
Computer Applications for Communication, Networking, and Digital Contents (FGCN 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 350))

  • 1852 Accesses

Abstract

During the seizure activity the heart rate variability of the patient differs from that of a normal person. In this paper statistical approach is used to calculate the HRV. The R peak is detected using discrete wavelet transform. Daubechies 6 (db6) is used as the mother wavelet. The statistical parameters of the R-R interval of a normal ECG and the ECG of a seizure patient are compared. The standard deviation, mean and variance of ECG of seizure patient are higher when compared to normal ECG. Hence variation in HRV can be used as one of the markers for seizure detection.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Nei, M.: Cardiac Effects of Seizures. Epilepsy Cur. (2009)

    Google Scholar 

  2. Niskanen, J.-P., Tarvainen, M.P., Ranta-Aho, P.O., Karjalainen, P.A.: Software for advanced HRV analysis. University of Kuopio Department of Applied Physics Report Series (2002) ISSN: 0788-4672

    Google Scholar 

  3. Vanisree, K., Singaraj, J.: Automatic Detection of ECG R-R Interval using Discrete Wavelet Transformation. International Journal on Computer Science and Engineering (IJCSE) (2011)

    Google Scholar 

  4. http://www.wikipedia.com

  5. Gary, G.B., et al.: Heart rate variability: Origin, methods and interpretive caveats. Committee report, Phycophysiology. Cambridge University Press (1997)

    Google Scholar 

  6. Merry, R.J.E.: Wavelet Theory and Applications (2005)

    Google Scholar 

  7. http://www.physionet.org

Download references

Author information

Authors and Affiliations

  1. Electronics and Control Engineering Department, Sathyabama University, Chennai, India

    P. Grace Kanmani Prince

  2. Electronics and Instrumentation, St. Peter’s University, Chennai, India

    Rani Hemamalini

Authors
  1. P. Grace Kanmani Prince
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rani Hemamalini
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. GVSA and University of Tasmania, Hobart, TAS, Australia

    Tai-hoon Kim

  2. Mokwon University, Daejeon, Korea

    Dae-sik Ko

  3. University of Western Macedonia, Kozani, Greece

    Thanos Vasilakos

  4. Jet Propulsion Laboratory/Caltech, NASA, 4800 Oak Grove Drive, 91109, Pasadena, CA, USA

    Adrian Stoica

  5. Deakin University, 75 Pigdons Road, 3216, Waurn Ponds, VIC, Australia

    Jemal Abawajy

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kanmani Prince, P.G., Hemamalini, R. (2012). Detection of Variations in HRV Using Discrete Wavelet Transform for Seizure Detection Application. In: Kim, Th., Ko, Ds., Vasilakos, T., Stoica, A., Abawajy, J. (eds) Computer Applications for Communication, Networking, and Digital Contents. FGCN 2012. Communications in Computer and Information Science, vol 350. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35594-3_46

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35594-3_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35593-6

  • Online ISBN: 978-3-642-35594-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation