GOAL: We analyze 48 signals of rest @entity400 velocity related to 12 distinct subjects affected by @entity191 . The subjects belong to two different groups, high- and low-amplitude rest @entity400 , with four and eight subjects, respectively. Each subject has been tested in four settings given by combining the use of deep brain stimulation and @entity3034 medication. METHODS: We develop two main feature-based representations of the signals, which are obtained by considering (i) the long-term correlations and multifractal properties, and (ii) the power spectra. RESULTS: Our results show that, when medication is used, a qualitative change is observed in the related signals from anti-correlated to long-term, positively correlated. In addition, the medication effect yields statistically significant differences in both high- and low-amplitude @entity400 groups. We successively consider three different classification problems, involving the recognition of (i) the use of medication, (ii) the use of deep brain stimulation, and (iii) the membership to the high- and low-amplitude @entity400 groups. Classification results show that the best results are obtained with a parsimonious, two-dimensional representation encoding the long-term correlations and multifractal properties of the signals. CONCLUSIONS: Long-term correlations and multifractal signatures of time series provided an effective tool to analyze @entity191 rest @entity400 signals. SIGNIFICANCE: The developed two-dimensional representation is a parsimonious and effective representation for rest @entity400 signals that could be adopted in clinical settings, even by considering resource-constrained scenarios.

Discrimination and characterization of XXXX by analyzing long-term correlations and multifractal signatures.

@entity3034 :: ('MESH:D007980', 'Chemical') :: ['L-DOPA'] @entity400 :: ('MESH:D014202', 'Disease') :: ['tremor', 'tremors'] @entity191 :: ('MESH:D010300', 'Disease') :: ['Parkinsonian', "Parkinson's disease"]
@entity191 :: (MESH:D010300,Disease) :: ['Parkinsonian rest tremors']
