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Automatic Step Detection in the Accelerometer Signal

  • Hong Ying
  • C. Silex
  • A. Schnitzer
  • S. Leonhardt
  • M. Schiek
Part of the IFMBE Proceedings book series (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.

Keywords

Step detection accelerometer Pan-Tompkins method template-matching method neurological rehabilitation research 

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Copyright information

© International Federation for Medical and Biological Engineering 2007

Authors and Affiliations

  • Hong Ying
    • 1
  • C. Silex
    • 1
  • A. Schnitzer
    • 1
  • S. Leonhardt
    • 2
  • M. Schiek
    • 1
  1. 1.Central Institute for ElectronicResearch Centre JülichGermany
  2. 2.Philips Chair for Medical Information TechnologyRWTH Aachen UniversityGermany

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