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Updated: Apr 18, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Subgroup analysis of PD tremor with loading: action tremor as a combination of classical rest and physiological
Fariborz Rahimi1, Carina Bee2, David Wang3
1Electrical Engineering Department, University of Bonab, Velayat Highway, Bonab, East Azerbaijan 5551761167, Iran; Electrical and Computer Engineering department, University of Waterloo, Waterloo, Ontario, Canada.
Background:
In Parkinson disease, tremor is a challenging symptom to manage, partly due to inadequate characterization. The current (classic) model of tremor is characterized by a resting tremor with a single strong peak in 3.5-6.5Hz range. The presence of action tremor, including postural, isometric, and kinetic tremors, has been disputed in the literature but not comprehensively evaluated. Analysis of hand tremor in action compared to rest, and possible subgrouping of tremor trends, may improve characterization.
Methods:
Twenty Parkinson patients and 14 controls were recruited. Tremor amplitude was measured across 9 sequentially loaded tasks, in off and on medication states. Tremor energy was separated into 2 frequency bands (B1, 3.5-6.5Hz; B2=physiological tremor, 7.5-16.5Hz) across all activity levels. Automatic classification was used for subgroup analysis.
Findings:
Automatic classification yielded 3 predominant tremor trends (G1, G2, and G3). These were significantly different from each other and from controls. G1 demonstrated closest resemblance to classical Parkinsonian tremor, with highest tremor energy at rest and with overall dominance in B1 for lower loads. G2-G3 did not show tremor energy dominance in either band. Medication reduced tremor energy only for G1 in both B1 and B2.
Interpretation:
Subgrouping the loading effect on tremor is a novel and viable method of rationalizing (non-classic) action tremor in Parkinson disease. Rest and action tremors appear not to be limited to 3.5-6.5Hz and may have considerable share of physiological tremor. Finding the contribution of each frequency band to total tremor energy and their trends with load may optimize therapy options.
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