Tremor characterization algorithms for the study of tremor time series

E. Rocon*, A. F. Ruiz, J. C. Moreno, Jose L Pons, J. A. Miranda, A. Barrientos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

This paper introduces the work developed by the authors in the study of tremor time series. First, it introduces a novel technique for the study of tremor. The technique presented is a high-resolution technique that solves most of limitations of the Fourier Analysis (the standard technique to the study of tremor time series). This technique was used for the study of tremorous movement in joints of the upper limb. After, some conclusions about tremor behaviour in upper limb based on the technique introduces are presented. Furthermore, an algorithm able to estimated in real-time the voluntary and the tremorous movement was presented. This algorithm was validated in two contexts with successful results. Finally, some conclusions and future work are given.

Original languageEnglish (US)
Title of host publicationBIOSIGNALS 2008 - Proceedings of the 1st International Conference on Bio-inspired Systems and Signal Processing
Pages355-360
Number of pages6
StatePublished - 2008
EventBIOSIGNALS 2008 - 1st International Conference on Bio-inspired Systems and Signal Processing - Funchal, Madeira, Portugal
Duration: Jan 28 2008Jan 31 2008

Publication series

NameBIOSIGNALS 2008 - Proceedings of the 1st International Conference on Bio-inspired Systems and Signal Processing
Volume2

Other

OtherBIOSIGNALS 2008 - 1st International Conference on Bio-inspired Systems and Signal Processing
Country/TerritoryPortugal
CityFunchal, Madeira
Period1/28/081/31/08

Keywords

  • Empirical mode decomposition
  • Inertial sensors
  • Real-time estimation
  • Timefrequency analysis
  • Tremor

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Control and Systems Engineering

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