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Movement Disorder Assessment and Attenuation Techniques for Removal of Tremor

  • Wesley Teskey
  • Mohamed Elhabiby
  • Naser El-Sheimy
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 273)

Abstract

A weighted-frequency Fourier linear combiner (WFLC) filter is used for removal of tremor motion for data captured from movement disorders subjects with essential tremor (ET) and Parkinson’s disease (PD). This technique is applied here in six degrees-of-freedom and data are filtered so that a comparison can be made before and after filtering to assess the extent to which the WFLC filter removed tremor. A wavelet spectral analysis is employed to determine the effectiveness of the filter in removing tremor in the 3-12 Hz band of interest. A Kalman filter is employed to improve data processing so that six degree-of-freedom tremor motion can be accurately rendered for subsequent filtering; such accurate rendering is needed so that full tremor motion can be adequately described. A Fourier coherence based technique is utilized so that relationships for interrelated tremors for the different six degrees-of-freedom can be identified. Much of the analysis shown is novel.

Keywords

Weighted-frequency fourier linear combiner (WFLC) Wavelets Accelerometers Gyroscopes Essential tremor Parkinson’s disease Kalman filter 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Wesley Teskey
    • 1
  • Mohamed Elhabiby
    • 1
  • Naser El-Sheimy
    • 1
  1. 1.Department of Geomatics EngineeringUniversity of CalgaryCalgaryCanada

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