V
Vladimir Medved
Researcher at University of Zagreb
Publications - 78
Citations - 1355
Vladimir Medved is an academic researcher from University of Zagreb. The author has contributed to research in topics: Gait (human) & Ground reaction force. The author has an hindex of 13, co-authored 75 publications receiving 1173 citations. Previous affiliations of Vladimir Medved include University Hospital Centre Zagreb.
Papers
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Journal ArticleDOI
Surface EMG based muscle fatigue evaluation in biomechanics
TL;DR: Time domain, frequency domain, time-frequency and time-scale representations, and other methods such as fractal analysis and recurrence quantification analysis are described succinctly and are illustrated with their biomechanical applications, research or clinical alike.
Book
Measurement of Human Locomotion
TL;DR: This volume provides comprehensive description of instrument systems for measurement of kinematics of human movement, kinetic quantities experienced by the human body in contact with the ground, and myoelectric changes associated with locomotor activity.
Journal ArticleDOI
Cerebral perfusion inhomogeneities in schizophrenia demonstrated with single photon emission computed tomography and Tc99m‐hexamethylpropyleneamineoxim
TL;DR: The findings support in principle the notion that schizophrenia with negative or chronic symptoms does not affect the whole brain homogeneously, as well as normal and homogeneous cerebral isotope uptake.
Journal ArticleDOI
Association study of MDR1 and 5-HT2C genetic polymorphisms and antipsychotic-induced metabolic disturbances in female patients with schizophrenia.
Martina Rojnic Kuzman,Vladimir Medved,Nada Bozina,Jasmina Grubišin,Nikolina Jovanović,Jadranka Sertić +5 more
TL;DR: The data indicate a possible influence of −759CT 5-HT2C and MDR1 G2677T and C3435T MDR 1 genetic polymorphisms on the development of metabolic abnormalities among female patients treated with olanzapine/risperidone.
Journal ArticleDOI
Measurement and analysis of surface myoelectric signals during fatigued cyclic dynamic contractions
TL;DR: In this article, a method of surface myoelectric (ME) signal measurement and analysis, with the aim of evaluating muscle fatigue during cyclic dynamic contractions of quadriceps muscle (lower leg extension and flexion exercise on ‘leg-extension’ training device), was developed.