Literature DB >> 11956807

Pathological tremors as diffusional processes.

J B Gao1, Wen-wen Tung.   

Abstract

Two types of pathological tremors, essential and Parkinsonian, are studied using dynamical systems theory. It is shown that pathological tremors can be characterized as diffusional processes. The time-scale range for the diffusional scaling law to be valid starts from about one to several tens of the mean oscillation period. This time-scale range contrasts sharply with the predictable time scale for deterministic chaos, which is usually only a small fraction of the mean oscillation period. The diffusions in pathological tremors are usually anomalous. A number of quantities are designed to characterize the diffusions in the tremor. Their relevance to potential clinical applications is discussed. It is argued that in order to discriminate between Parkinsonian and essential tremors, quantities not of purely dynamical origin may be more useful, since purely dynamical quantities emphasize more the dynamical similarities between the two types of tremors.

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Year:  2002        PMID: 11956807     DOI: 10.1007/s00422-001-0296-8

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  4 in total

1.  Empirical mode decomposition: a novel technique for the study of tremor time series.

Authors:  Eduardo Rocon de Lima; Adriano O Andrade; José Luis Pons; Peter Kyberd; Slawomir J Nasuto
Journal:  Med Biol Eng Comput       Date:  2006-06-20       Impact factor: 2.602

2.  Scaling analysis of bilateral hand tremor movements in essential tremor patients.

Authors:  S Blesic; J Maric; N Dragasevic; S Milanovic; V Kostic; Milos Ljubisavljevic
Journal:  J Neural Transm (Vienna)       Date:  2011-02-18       Impact factor: 3.575

3.  Analysis of amplitude and frequency variations of essential and Parkinsonian tremors.

Authors:  J B Gao
Journal:  Med Biol Eng Comput       Date:  2004-05       Impact factor: 2.602

4.  Multiscale analysis of biological data by scale-dependent lyapunov exponent.

Authors:  Jianbo Gao; Jing Hu; Wen-Wen Tung; Erik Blasch
Journal:  Front Physiol       Date:  2012-01-24       Impact factor: 4.566

  4 in total

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