An Application for the Analysis of Human Tremor Time-Series

Josef Honerkamp, Michael Lauk, Jens Timmer, Carl-Herrmann Lücking and Günther Deuschl
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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

A chapter in Mathematics — Key Technology for the Future, 2003, pp 554-569 from Springer

Abstract: 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.

Keywords: Parkinsonian Disease; Essential Tremor; Physiological Tremor; Daily Clinical Routine; Parkinsonian Tremor (search for similar items in EconPapers)
Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-55753-8_44

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DOI: 10.1007/978-3-642-55753-8_44

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