Bioinformatic approaches used in modelling human tremor

Mario Manto*, Giuliana Grimaldi, Thomas Lorivel, Dario Farina, Lana Popovic, Silvia Conforto, Tommaso D'Alessio, Juan Manuel Belda-Lois, Jose L Pons, Eduardo Rocon

*Corresponding author for this work

Research output: Contribution to journalReview article

15 Scopus citations

Abstract

Bioinformatics is a field of information technology concerning the storage, retrieval, analysis, visualization, prediction and analysis of sets of data with biological or clinical significance. Tremor is a common movement disorder, for which pharmacological and neurophysiological models have been developed these last 3 decades, and which is at the frontier of biology, health sciences and computer technologies. Recently, new biomechanical modelling approaches of tremor have been proposed, based upon ambulatory systems and body area networks (BAN). Use of digital signal processing (DSP) techniques taking into account the non-linearity and non stationarity features of tremor time-series is reviewed in the present article. In particular, algorithms for instantaneous assessments of oscillations and direct online cancellations have been suggested. We discuss the advantages and drawbacks of the tremor detection algorithms, as well as prediction tools. In addition, promising models based upon neural networks, conductance studies and brain neurotransmitters are under development. These models will allow the accurate simulation of the behaviour of limbs. Their impact is outlined. The field of tremor research represents an excellent application of bioinformatics in medicine and rehabilitation.

Original languageEnglish (US)
Pages (from-to)154-172
Number of pages19
JournalCurrent Bioinformatics
Volume4
Issue number2
DOIs
StatePublished - Oct 23 2009

Keywords

  • Animal models
  • Bioinformatics
  • Brain
  • Computational models
  • Fast fourier transform
  • Time-series
  • Tremor
  • Tremor detection algorithms

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Genetics
  • Computational Mathematics

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  • Cite this

    Manto, M., Grimaldi, G., Lorivel, T., Farina, D., Popovic, L., Conforto, S., D'Alessio, T., Belda-Lois, J. M., Pons, J. L., & Rocon, E. (2009). Bioinformatic approaches used in modelling human tremor. Current Bioinformatics, 4(2), 154-172. https://doi.org/10.2174/157489309788184747