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An Application for the Analysis of Human Tremor Time-Series

In: Mathematics — Key Technology for the Future

Author

Listed:
  • Josef Honerkamp

    (University of Freiburg, Center for Data-Analysis and Modeling and Department of Physics)

  • Michael Lauk

    (University of Freiburg, Center for Data-Analysis and Modeling and Department of Physics)

  • Jens Timmer

    (University of Freiburg, Center for Data-Analysis and Modeling and Department of Physics)

  • Carl-Herrmann Lücking

    (Center for Neuroscience, University of Freiburg)

  • Günther Deuschl

    (University of Kiel, Department of Neurology)

Abstract

For many diseases various methods for the diagnosis and treatment monitoring are available. Presently, such methods are not established for an investigation of human tremor diseases, although the different forms of tremor are common neurological symptoms and occur frequently in various neurological diseases and also other conditions. Human tremor is defined as an involuntary oscillation of one or more parts of the body. The goal of this project was to develop new methods and to improve and automate already proposed methods for the diagnosis and treatment monitoring of human tremors. We built an easy-to-use application for tremor-analysis and recording, running on conventional personal computers, that allows to investigate different forms of human tremor by advanced mathematical methods of time series analysis. The software is also applicable for users who are not familiar with these kind of advanced data analysis methods. It provides tools for the diagnosis and treatment monitoring under laboratory conditions, mainly based on the cross-spectral and spectral analysis of tremor acceleration time-series and electromyographic time-series. The software is now available on the market.

Suggested Citation

  • Josef Honerkamp & Michael Lauk & Jens Timmer & Carl-Herrmann Lücking & Günther Deuschl, 2003. "An Application for the Analysis of Human Tremor Time-Series," Springer Books, in: Willi Jäger & Hans-Joachim Krebs (ed.), Mathematics — Key Technology for the Future, pages 554-569, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-55753-8_44
    DOI: 10.1007/978-3-642-55753-8_44
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