Psychogenic tremor disorders identified using tree-based statistical algorithms and quantitative tremor analysis

Mov Disord. 2005 Dec;20(12):1543-9. doi: 10.1002/mds.20634.


Detecting psychogenic tremors (PsychT) is often challenging. As there are no laboratory investigations or imaging techniques that can confirm the diagnosis, PsychT is identified on a clinical basis. We present a tree-based statistical algorithm derived from quantitative computerized tremor recordings as a novel method to help in the recognition of PsychT. The goal of this study was to show that objective data from computerized tremor recordings, when processed through a tree-based statistical algorithm, can be used to determine whether a patient can be classified as having PsychT.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Algorithms*
  • Diagnosis, Differential
  • Electromyography / methods
  • Female
  • Humans
  • Kinetics
  • Male
  • Middle Aged
  • Models, Statistical
  • Neurologic Examination
  • Predictive Value of Tests
  • Psychophysiologic Disorders / diagnosis*
  • Sensitivity and Specificity
  • Signal Processing, Computer-Assisted
  • Tremor / classification
  • Tremor / diagnosis*
  • Tremor / physiopathology