Zoltan Galaz

TL;DR: 14 combinations of speech tasks and acoustic features that can be recommended for use in describing the main features of HD in PD seem to be mainly related to non-dopaminergic deficits and associated particularly with non-motor symptoms.

TL;DR: This study proves that digital parameterization of pressure and altitude/tilt patterns in children with dysgraphia can be used for preliminary diagnosis of this writing disorder and estimation of difficulty level as determined by the handwriting proficiency screening questionnaire.

TL;DR: A preliminary investigation of Voice Pathology Detection using Deep Neural Networks (DNN) using voice recordings of sustained vowel /a/ produced at normal pitch from German corpus Saarbruecken Voice Database (SVD).

TL;DR: Lower variation of fundamental frequency in PD patients with HD is confirmed and increased variability of speech intensity compared to healthy speakers has been detected, and further development of prosodic features quantifying the relationship between monopitch, monoloudness and speech rate disruptions in HD can have a great potential in future PD analysis.

TL;DR: The proposed methodology avails that the use of highly normalized descriptors as the probability distribution of kinematic variables of vowel articulation stability boosts the potential of simple yet powerful classifiers in producing quite acceptable detection results in Parkinson Disease.