Waveform analysis of tremor may help to differentiate Parkinson's disease from drug-induced parkinsonism

W. Jang, J. Han, J. Park, J. S. Kim, J. W. Cho, Seong Beom Koh, S. J. Chung, I. Y. Kim, H. T. Kim

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

In this study, we analyzed the waveform characteristics of resting tremor by accelerometer recordings in patients with drug-induced parkinsonism (DIP) and Parkinson's disease (PD). We prospectively recruited 12 patients with tremulous PD and 12 patients with DIP presenting with resting tremor. Tremor was recorded from the more affected side and was recorded twice for a 60 s period in each patient. Peak frequency, amplitude and all harmonic peaks were obtained, and the asymmetry of the decay of the autocorrelation function, third momentum and time-reversal invariance were also computed using a mathematical algorithm. Among the parameters used in the waveform analysis, the harmonic ratio, time-reversal invariance and asymmetric decay of the autocorrelation function were different between PD and DIP at a statistically significant level (all p < 0.01). The total harmonic peak power and third momentum in the time series were not significantly different. The clinical characteristics of DIP patients may be similar to those of PD patients in some cases, which makes the clinical differentiation between DIP and PD challenging. Our study shows that the identification of parameters reflecting waveform asymmetry might be helpful in differentiating between DIP and PD.

Original languageEnglish
JournalPhysiological Measurement
Volume34
Issue number3
DOIs
Publication statusPublished - 2013 Mar 1

    Fingerprint

Keywords

  • accelerometry
  • drug-induced parkinsonism
  • Parkinsons disease
  • tremor

ASJC Scopus subject areas

  • Biophysics
  • Physiology
  • Biomedical Engineering
  • Physiology (medical)

Cite this