A Study of Power Spectra Analysis of Normal Finger Tremors

Abstract

Measurements of ``normal,'' neuromuscular finger tremor acceleration in healthy adults were made and then analyzed by power spectra and correlation techniques. These techniques from random-signal analysis offer objective methods by which tremors may be described and compared quantitatively. Measurements of this type may provide useful information in evaluating surgical and medical treatments of Parkinson's disease; furthermore, if relations between tremor phenomena and certain physiological and pathological states are established, these techniques will have diagnostic value. Some interesting and useful results evolved from this study; the power density spectra, autocorrelograms, and cumulative power spectra of the tremor measurements are presented and discussed.