Abstract
Wavelet and multifractal features of involuntary shaking (tremor) arising during the performance of the motor task (under sustaining isometric effort of fingers of the human hand) have been examined by nonlinear dynamic methods. The wavelet score (the maximum of the global energy of a wavelet spectrum) and multifractal parameters (the width and asymmetry of a singularity spectrum) significantly differ in tremor of healthy subjects and patients with motor dysfunction. The relations between the change of the state of the patients with Parkinson’s disease connected with the drug relief of parkinsonian symptoms and the variations of the parameter values have been obtained. The suggested analytic approach for noninvasive study of integrative activity of the central nervous system, formed as the motor exit during realization of the motor task, enables us not only to estimate quantitatively the degree of deviation of the motor function from the healthy one, but it can help to a clinician to choose the optimal treatment in every particular case.
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Original Russian Text © O.E. Dick, A.D. Nozdrachev, 2015, published in Fiziologiya Cheloveka, 2015, Vol. 41, No. 2, pp. 53–59.
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Dick, O.E., Nozdrachev, A.D. Nonlinear dynamics of involuntary shaking of the human hand under motor dysfunction. Hum Physiol 41, 156–161 (2015). https://doi.org/10.1134/S0362119715010041
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DOI: https://doi.org/10.1134/S0362119715010041