Z
Zoltan Szabo
Researcher at Czech Technical University in Prague
Publications - 26
Citations - 242
Zoltan Szabo is an academic researcher from Czech Technical University in Prague. The author has contributed to research in topics: Gait (human) & Finger tapping. The author has an hindex of 5, co-authored 26 publications receiving 146 citations.
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Gait symmetry measures: A review of current and prospective methods
TL;DR: This topical review divided symmetry measures into four subgroups: symmetry indices, complete gait cycle symmetry measures, statistically-based measures and approaches, and nonlinear measures and raised new questions and recommendations about their development and clinical use.
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Tests of manual dexterity and speed in Parkinson's disease: Not all measure the same.
TL;DR: In this article, the authors used a contactless 3D motion capture system Optitrack-V120 for finger tapping and found that the amplitude decrement and maximum opening velocity were the most powerful discriminators between PD patients and controls.
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Empowering lower limbs exoskeletons: state-of-the-art
Slavka Viteckova,Patrik Kutilek,Gerard de Boisboissel,Radim Krupicka,Alena Galajdová,Jan Kauler,Lenka Lhotska,Zoltan Szabo +7 more
TL;DR: The aim of this work is to provide an overview of empowering lower limbs exoskeletons, including their unique design concepts, operator–exoskeleton interactions and control strategies, and points to weaknesses and outlines possible improvements.
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Comparative analysis of speech impairment and upper limb motor dysfunction in Parkinson's disease.
Jan Rusz,Tereza Tykalová,Radim Krupicka,Kateřina Zárubová,Michal Novotný,Robert Jech,Zoltan Szabo,Evžen Růžička +7 more
TL;DR: The hypothesis that speech impairment in PD shares, at least partially, similar pathophysiological processes with limb motor dysfunction is supported, and vocal fold vibration irregularities appeared to be influenced by mechanisms similar to amplitude decrement during repetitive limb movements.
Journal Article
Motion Capture System for Finger Movement Measurement in Parkinson Disease
TL;DR: A contactless three-dimensional (3D) capture system using two cameras and light-passive (wireless) reflexive markers for extracting, matching, and tracing markers and provides the 3D position of spherical or hemi- spherical markers in real time.