title: Tremor classification and tremor time series analysis.
abstract: The separation between physiologic tremor (PT) in normal subjects and the pathological tremors of essential tremor (ET) or Parkinson's disease (PD) was investigated on the basis of monoaxial accelerometric recordings of 35 s hand tremor epochs. Frequency and amplitude were insufficient to separate between these conditions, except for the trivial distinction between normal and pathologic tremors that is already defined on the basis of amplitude. We found that waveform analysis revealed highly significant differences between normal and pathologic tremors, and, more importantly, among different forms of pathologic tremors. We found in our group of 25 patients with PT and 15 with ET a reasonable distinction with the third momentum and the time reversal invariance. A nearly complete distinction between these two conditions on the basis of the asymmetric decay of the autocorrelation function. We conclude that time series analysis can probably be developed into a powerful tool for the objective analysis of tremors. (c) 1995 American Institute of Physics.
authors.affiliation: Department of Neurology, University of Freiburg/Breisgau, GermanyDepartment of Physics, University of Freiburg/Breisgau, Germany.
authors.forename: Gunther
authors.initials: G
authors.lastname: Deuschl
authors.forename: Michael
authors.initials: M
authors.lastname: Lauk
authors.forename: Jens
authors.initials: J
authors.lastname: Timmer