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ABSTRACT: Background
The hallmark feature of tremor is rhythmicity, which can be quantified using power spectral density (PSD) analysis. However, tremor exhibits considerable variability, ranging from highly regular to more irregular patterns. Similarly, rhythmicity in myoclonus varies, but it typically manifests as arrhythmic jerks.Objectives
To develop PSD-based measures of movement regularity for the classification of tremor and myoclonus.Methods
Electromyography data from 153 patients were analyzed retrospectively, including orthostatic tremor (OT) (n = 36), essential tremor (ET) (n = 40), hand dystonic tremor (DT) (n = 42), and limb cortical myoclonus (n = 35). Five PSD analysis-derived variables were assessed: peak prominence, peak-to-broadband power ratio, peak frequen
SUBMITTER: Latorre A
PROVIDER: S-EPMC12710117 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature