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Vojko Valencic

Publications and source records attributed to Vojko Valencic.

4 recordsLinked to original sources

Spatial fiber type distribution in normal human muscle Histochemical and tensiomyographical evaluation.

The variability of fiber type distribution in nine limb muscles was examined with histochemical and tensiomyographical (TMG) methods in two groups of 15 men aged between 17 and 40 years. The aim of this study was to determine the extent to which the relative occurrence of different fiber types and subtypes varies within human limb muscles in function to depth and to predict fiber type proportions with a non-invasive TMG method. The distribution of different fiber types varied within the muscles, as a function of depth, with a predominance of type 2b fibers at the surface and type 1 fibers in deeper regions of the muscle. For all the analyzed muscles the contraction times measured at stimulus intensity 10% of supramaximal stimulus (10% MS) were significantly (p<0.05) shorter than the contraction times measured at 50% of supramaximal stimulus intensity (50% MS). The Pearson's correlation coefficient between percentage of type 1 muscle fibers measured at the surface of the muscle and contraction time at 10% MS, obtained by TMG was statistically significant (r=0.76,P<0.01). Also the Pearson's correlation coefficient between percentage of type 1 muscle fibers measured in the deep region of the muscle and contraction time at 50% MS obtained by TMG was also statistically significant (r=0.90,P<0.001). These findings suggest that the contraction time obtained by TMG may be useful for non-invasive examining of muscle fiber types spatial distribution in humans.

Adolescent↗

Modeling AC current conduction through a human tooth.

Impedance between the electrode inserted in a root canal of a human tooth and the outer electrode placed on the oral mucosa serves as a measure of the root canal length, a vital parameter necessary for efficient endodontic procedure in dentistry. For better understanding of current conduction through the tooth, the impedance has been measured on extracted teeth (in vitro) and further used to develop corresponding electrical lumped element models. For modeling the metal/solution interface and complex structure of the tooth, Fricke's constant phase elements are employed. More detailed insight into current conduction is given by numerical simulation. Numerical simulation demonstrates the influence on the impedance of several important parameters, such as dentin conductance, canal preparation, and solution conductance.

Electricity↗

Numerical computation of impedances of a human tooth for estimation of the root canal length.

Alternative current (ac) current conduction through a human tooth has been investigated through numerical simulation. Numerical calculation of impedance between the file (electrode) inserted in the root canal of the tooth and the outer electrode enables investigation of the impedance method used in dentistry for evaluation of the root canal length. Simulations confirm the improved sensitivity of the impedance method using the results of multiple frequency measurements.

Algorithms↗

The muscle adaptation process as a result of pathological changes or specific training procedures.

Muscle responses to tetanic electrical stimulation were detected by the non-invasive tensiomyographic (TMG) measuring method. The main objective of this study was to find out whether the TMG measuring method is suitable for monitoring the unfused tetanus (stimulation frequencies ranging from 1 Hz to the fusion frequency (ff)--the frequency at which tetanus occurs), and whether this monitoring provides any information on skeletal muscles' structural or functional changes. The muscle adaptation process was observed in damped unfused tetanus (DUT). The measured results in the clinical environment as well as on the sports field indicate that DUT is caused by a type II muscle fibres fatigue process. Separate observation of type II muscle fibres enables more efficient treatment and observation of pathological changes, and helps professional athletes and their trainers to better understand the influence of training stimuli on the training process.

Adaptation, Physiological↗