Paunkoska, Anamarija
Preferred name
Paunkoska, Anamarija
Official Name
Paunkoska, Anamarija
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Item type:Publication, Origin of the right vertebral artery examined with CTA(Македонска академија на науките и уметностите, Одделение за медицински науки = Macedonian Academy of Sciences and Arts, Section of Medical Sciences/ Sciendo, 2025-12-06); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, EXPLOITING EMG SIGNALS FOR THE RECOGNITION OF FINGER FLEXIONS USING WAVELET TRANSFORM AND MACHINE LEARNING(Faculty of Medicine, University Ss. Cyril and Methodius in Skopje, 2024-12-11); Electromyography (EMG) is a technique that measures and records electrical activity in response to a nerve’s stimulation of the muscle. EMG signals are biomedical signals that represent electrical currents generated in muscles during their contraction. EMG signals acquired from muscles require advanced methods for detection, decomposition, processing and classification. Various mathematical techniques have received extensive attention and one of the most popular is Wavelet transform. Wavelet transform is a mathematical tool for analyzing data where the signal values vary at different scales, such as in EMG signals, so it is widely used in EMG signal processing systems. This study explored the potential of applying wavelet transform to EMG signals, which were collected using two sensors placed on the forearms of eight subjects performing individual finger flexions. We experimented with various mother wavelets and decomposition levels to determine the most effective combination. After evaluating the results obtained from training models, we selected the Daubechies wavelet (db1) with a second level of decomposition as the optimal solution. To generate meaningful features from the wavelet coefficients, we extracted time-frequency domain features, which were then used as inputs for training and testing machine learning models. We employed five classification algorithms: K-nearest neighbors, Support Vector Machine, Decision Tree, Random Forest, and Extreme Gradient Boosting (XGBoost). By evaluating and comparing the performance of these algorithms, we demonstrated enhanced accuracy and robustness achieved by the combination of wavelet transform and feature extraction in EMG signal analysis. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Anatomy education and clinical practice: students’ views(Grupa Via Medica, 2025-10-16); ; ; ; Background and objectives: This study was aimed at evaluating students’ per spectives on the relevance of anatomy education to clinical practice throughout their studies at the Faculty of Medicine in Skopje. Materials and methods: The study was designed as a cross-sectional, questionnaire-based investigation and took place at the Faculty of Medicine in Skopje at the University of “Ss Cyril and Methodius”, R. North Macedonia. The questionnaire form included demographics, five-point Likert items, and open-ended questions. Questionnaire data was collected from volunteer student participants, currently and not currently involved in anatomy education, consisting of 134 first-year and 87 fourth- and fifth-year students during March and April 2024. Results: Junior students agreed that their anatomy education helped them achieve some important goals for clinical practice, such as adopting and applying medical terminology and the ability to visualise a three-dimensional human body map. Senior students were less convinced that the structures and concepts acquired during anatomy education were relevant to clinical practice, or that they helped them acquire clinical knowledge and skills effectively, or to understand the principles of evidence-based medicine. Junior students and their senior colleagues disagreed as to whether anatomy education succeeded in developing their self-confidence, teamwork, and communication skills. Conclusions: Both groups of students had similar preferences and suggestions for redesigning anatomy courses to focus on essential elements that are functionally and clinically relevant. This can be achieved through traditional and modern teaching methods, small group work, and the establishment of learning outcomes within clinically relevant contexts. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, RENAL ARTERY VARIATIONS DETECTED BY CTA(Anatomischen Gesellschaft, 2025-09-26); ; ; ; This study aims to determine the prevalence and morphological characteristics of renal artery variations using computed tomography angiography (CTA) of the abdominal aorta. A cross-sectional study was conducted on 37 CTA images of patients over 18 years of age. The scans were performed using a multidetector CT scanner (MDCT Siemens, 128-slice), and the images were analyzed with Vitrea® Advanced Visualization Software. Evaluated parameters included the origin, number and diameter of the renal arteries, presence of accessory arteries and the suprarenal and infrarenal segments of the aorta. Normal bilateral renal vascularization was observed in 91.9% of cases. Variations were detected in 5.41% (2 cases): one with unilateral and one with bilateral accessory renal arteries. No statistically significant association was found between sex and the presence of variations (p=0.51). Despite the limited sample size, renal artery variations were identified. Accessory renal arteries are a common anatomical variation with significant implications in clinical and surgical practice. Accurate preoperative identification using CTA is essential for optimal surgical planning, especially in urology and vascular surgery. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Dermatoglyphic patterns in population of the R. of North Macedonia(Anatomischen Gesellschaft, 2025-09-26); ; ; ; Dermatoglyphics is the scientific study of fingerprints from the hands and fingers, soles and toes. Dermatoglyphic study has been conducted in order to determine and analyze individual dermatoglyphic characters in healthy individuals with Macedonian and Albanian nationality. Some dermatoglyphic parameter on the 210 palm prints were read and classified. The prints were obtained from healthy individuals of Macedonian and Albanian ethnic origin. Palm prints were taken using Cummins and Midlo’s ink method .Dermatoglyphics were classified according Henry’s system. The results in our population study showed that UL>Wc>We>DL>A>RL on both hands in all participants, radial loops are present only on the second digit, index and double loops are most present as complex patterns. Formula for present triradii is a>t>b>d>c. The values for Atd angle are equal from 35˚-55˚.Most often found in hypothenar region are distal loops. In conclusion, a dermatoglyphic patterns on the hands and fingers in population in the R. of North Macedonia have been made. Normal variability of the dermatoglyphic patterns have been presented. The results provide new possibilities for further investigation of dermatoglyphics and their biological and genetic properties. Findings from our populational study can be compared with the results of other nationalities, as well as presenting a control group for comparison with dermatoglyphic patterns in many genetical disorders and different diseases.