Skip to main content
SpringerLink
Log in

Automatic Step Detection in the Accelerometer Signal

  • Conference paper
4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 13))

Abstract

The automatic step detection is a crucial component for the analysis of vegetative locomotor coordination during monitoring the patients with Parkinson’s disease. It is aimed to develop the algorithms for automatic step detection in the accelerometer signal, which will be integrated in sensor networks for neurological rehabilitation research. In this paper, three algorithms (Pan-Tompkins method, template matching method and peak detection based on combined dual-axial signals) are detailed described. Finally, these methods will be discussed by means of dis- and advantages.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. Schiermeier S and Schäfer. D and Schläfke. ME, Breathing and locomotion in patients with Parkinson’s disease (2001), Eur. J. Physiol., 443:67–71

    Article  Google Scholar 

  2. Melnick ME and Radtka S, Gait analysis and Parkinson’s disease (2002), Rehab. Manag., 58: 46–48

    Google Scholar 

  3. Pan. J and Tompkins. W, A real-time QRS detection algorithm (1985), IEEE Transactions on Biomedical Engineering, 32: 230–236

    Article  Google Scholar 

  4. Rangayyan R. M, Biomedical Signal Analysis (2002), IEEE Press Series on Biomedical Engineering

    Google Scholar 

  5. Kincke. U and Jäkel. H, Signale und Systeme (2002), Oldenbourg Verlag, München

    Google Scholar 

  6. Hegewald, G, Ganganalytische Bestimmung und Bewertung der Druckverteilung unterm Fuß und von Gelenkwinkelverläufen (2000), Dissertation, Humboldt Universität zu Berlin

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Central Institute for Electronic, Research Centre Jülich, Germany

    Hong Ying, C. Silex, A. Schnitzer & M. Schiek

  2. Philips Chair for Medical Information Technology, RWTH Aachen University, Germany

    S. Leonhardt

Authors
  1. Hong Ying
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. C. Silex
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. Schnitzer
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. S. Leonhardt
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. M. Schiek
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hong Ying .

Editor information

Editors and Affiliations

  1. Helmholtz Institute of Biomedical Engineering, RWTH Aachen University, Pauwelstr. 20, 52074, Aachen, Germany

    Steffen Leonhardt (Chair of Medical Information Technology) (Chair of Medical Information Technology)

  2. Connectivity Systems Group, Philips Research Europe, Weisshausstr. 2, 52066, Aachen, Germany

    Thomas Falck

  3. RWTH Aachen University, Kackertstr. 9, 52072, Aachen, Germany

    Petri Mähönen (Chair of Wireless Networks) (Chair of Wireless Networks)

Rights and permissions

Reprints and permissions

Copyright information

© 2007 International Federation for Medical and Biological Engineering

About this paper

Cite this paper

Ying, H., Silex, C., Schnitzer, A., Leonhardt, S., Schiek, M. (2007). Automatic Step Detection in the Accelerometer Signal. In: Leonhardt, S., Falck, T., Mähönen, P. (eds) 4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007). IFMBE Proceedings, vol 13. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70994-7_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-70994-7_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70993-0

  • Online ISBN: 978-3-540-70994-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation