Výsledky vyhledávání - "Vladimir Atanasoski"

Akademický článek

A Morphology-Preserving Algorithm for Denoising of EMG-Contaminated ECG Signals

Autor: Vladimir Atanasoski, Jovana Petrovic, Lana Popovic Maneski, Marjan Miletic, Milos Babic, Aleksandra Nikolic, Dorin Panescu, Marija D. Ivanovic

Publikováno v: IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 296-305 (2024)

Goal: Clinical interpretation of an electrocardiogram (ECG) can be detrimentally affected by noise. Removal of the electromyographic (EMG) noise is particularly challenging due to its spectral overlap with the QRS complex. The existing EMG-denoising

Externí odkaz: https://doaj.org/article/4edde5b9a97e42f1a84934681dedd80e

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Akademický článek

A Database of Simultaneously Recorded ECG Signals With and Without EMG Noise

Autor: Vladimir Atanasoski, Jovana Petrovic, Lana Popovic Maneski, Marjan Miletic, Milos Babic, Aleksandra Nikolic, Dorin Panescu, Marija D. Ivanovic

Publikováno v: IEEE Open Journal of Engineering in Medicine and Biology, Vol 4, Pp 222-225 (2023)

Goal: Noise on recorded electrocardiographic (ECG) signals may affect their clinical interpretation. Electromyographic (EMG) noise spectrally coincides with the QRS complex, which makes its removal particularly challenging. The problem of evaluating

Externí odkaz: https://doaj.org/article/f3ba4e6df1c543369d61c39e73c24a7f

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Deep Learning Approach for Highly Specific Atrial Fibrillation and Flutter Detection based on RR Intervals

Autor: Marija D. Ivanović, Alexei Shvilkin, Aleksandra Maluckov, Ljupco Hadzievski, Vladimir Atanasoski

Publikováno v: EMBC
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (41; 2019; Berlin)

Atrial fibrillation (AF) and atrial flutter (AFL) represent atrial arrhythmias closely related to increasing risk for embolic stroke, and therefore being in the focus of cardiologists. While the reported methods for AF detection exhibit high performa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7329155b6e5f59a564a4e21ef979cc28
https://pubmed.ncbi.nlm.nih.gov/31946242

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Properties of different types of dry electrodes for wearable smart monitoring devices

Autor: Sanja Zdolšek, Marija D. Ivanović, Ljupčo Hadžievski, Marjan Miletić, Bosko Bojovic, Lana Popović-Maneski, Vladimir Atanasoski

Publikováno v: Biomedical Engineering / Biomedizinische Technik

Wearable smart monitors (WSMs) applied for the estimation of electrophysiological signals are of utmost interest for a non-stressed life. WSM which records heart muscle activities could signalize timely a life-threatening event. The heart muscle acti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5640eca1a06eacc31f5cd4475609ddd9
https://pubmed.ncbi.nlm.nih.gov/32238599

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Unsupervised Classification of Premature Ventricular Contractions Based on RR Interval and Heartbeat Morphology

Autor: Alexei Shvilkin, Marija D. Ivanović, Goran Gligorić, Bosko Bojovic, Jovana Petrović, M. Marinkovic, Vladimir Atanasoski

Publikováno v: 2018 14th Symposium on Neural Networks and Applications (NEUREL)
14th Symposium on Neural Networks and Applications (NEUREL) (2018)

Accurate automated detection of premature ventricular contractions from electrocardiogram requires a training set or expert intervention. We propose a fully automated unsupervised detection method. The algorithm first clusters morphologically similar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29c2e99c89be7cc77f688ac154929fab
https://doi.org/10.1109/neurel.2018.8586997

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Fibre-grating sensors for the measurement of physiological pulsations

Autor: A. Daničić, Ljupčo Hadžievski, Dobrila Petrovic, Nadica Miljković, V. Prodanović, Glynn Lloyd, S. Radosavljević, Vladimir Atanasoski, Thomas D.P. Allsop, David J. Webb, Jovana Petrović, Marija D. Petrović, Bosko Bojovic

Publikováno v: Physica Scripta

Mechanical physiological pulsations are movements of a body surface incited by the movements of muscles in organs inside the body. Here we demonstrate the use of long-period grating sensors in the detection of cardio-vascular pulsations (CVP), in par

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4ccd726cf5ac5b81cad51505a0c452a
https://vinar.vin.bg.ac.rs/handle/123456789/7019