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Related Experiment Videos

New actigraph for long-term tremor recording.

Eus J W Van Someren1, Myrthe D Pticek, Johannes D Speelman

  • 1Netherlands Institute for Neuroscience, Amsterdam, The Netherlands. e.van.someren@nin.knaw.nl

Movement Disorders : Official Journal of the Movement Disorder Society
|April 28, 2006
PubMed
Summary
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A new actigraph method accurately distinguishes Parkinson's disease tremor from other movements. This validated technology enables long-term monitoring of tremor fluctuations for improved symptom management.

Area of Science:

  • Biomedical Engineering
  • Neurology
  • Movement Science

Background:

  • Tremor is a key symptom in Parkinson's disease (PD).
  • Objective quantification of tremor is crucial for diagnosis and management.
  • Existing methods often lack precision or long-term monitoring capabilities.

Purpose of the Study:

  • To validate a novel actigraphy-based method for discriminating and quantifying tremor.
  • To optimize an algorithm for accurate tremor detection using wrist acceleration.
  • To assess the potential for long-term, objective tremor monitoring in PD patients.

Main Methods:

  • Simultaneous recording of wrist acceleration and observed tremor ratings (Unified Parkinson's Disease Rating Scale item 20) in PD patients and controls.
  • Algorithm optimization to minimize false positives in controls and maximize tremor detection in PD patients.

Related Experiment Videos

  • Generalizability testing of the optimized algorithm on independent cohorts of PD patients and controls.

    • Main Results:

    • The optimized algorithm achieved high tremor classification accuracy in PD patients (82.1% +/- 15.4% of movement time, r=0.93 correlation with observed scores).
    • Low false positive tremor classification rates were observed in control subjects (2.4% +/- 2.5% of movement time).
    • Generalizability studies confirmed accurate tremor classification (71% +/- 14%) with minimal false positives (0.5% +/- 0.8%) in new patient and control groups.

    Conclusions:

    • This validated actigraphy method reliably distinguishes Parkinson's disease tremor from other movements.
    • The algorithm enables objective, quantitative, and long-term monitoring of tremor fluctuations.
    • Commercial availability of this actigraph facilitates new avenues for evaluating PD symptom management and treatment efficacy.