Vladimir Atanasoski

ORCID: 0000-0003-1695-6341
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About
Contact & Profiles
Research Areas
  • ECG Monitoring and Analysis
  • Non-Invasive Vital Sign Monitoring
  • Cardiac Arrhythmias and Treatments
  • EEG and Brain-Computer Interfaces
  • Cardiac electrophysiology and arrhythmias
  • Muscle activation and electromyography studies
  • Phonocardiography and Auscultation Techniques
  • Heart Rate Variability and Autonomic Control
  • Advanced Sensor and Energy Harvesting Materials
  • Sensor Technology and Measurement Systems
  • Infrared Target Detection Methodologies
  • Cardiac Imaging and Diagnostics
  • Musculoskeletal pain and rehabilitation
  • Advanced Fiber Optic Sensors
  • Mechanical and Optical Resonators
  • Atrial Fibrillation Management and Outcomes
  • Analog and Mixed-Signal Circuit Design

University of Belgrade
2013-2024

Vinča Institute of Nuclear Sciences
2023-2024

RadiaBeam Technologies (United States)
2024

Walsh University
2023-2024

Atrial fibrillation (AF) and atrial flutter (AFL) represent arrhythmias closely related to increasing risk for embolic stroke, therefore being in the focus of cardiologists. While reported methods AF detection exhibit high performances, little attention has been given distinguishing these two arrhythmias. In this study, we propose a deep neural network architecture, which combines convolutional recurrent networks, extracting features from sequence RR intervals. The learned were used classify...

10.1109/embc.2019.8856806 article EN 2019-07-01

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Goal:</i> Clinical interpretation of an electrocardiogram (ECG) can be detrimentally affected by noise. Removal the electromyographic (EMG) noise is particularly challenging due to its spectral overlap with QRS complex. The existing EMG-denoising algorithms often distort signal morphology, thus obscuring diagnostically relevant information. xmlns:xlink="http://www.w3.org/1999/xlink">Methods:</i>...

10.1109/ojemb.2024.3380352 article EN cc-by-nc-nd IEEE Open Journal of Engineering in Medicine and Biology 2024-01-01

Early coronary occlusion detection by portable personal device with limited number of electrocardiographic (ECG) leads might shorten symptom-to-balloon time in acute syndromes. The purpose this study was to compare the accuracy using vectorcardgiographic analysis a near-orthogonal 3-lead ECG configuration suitable for credit card-size integration automated and human 12 lead interpretation. 12-lead ECGs 3 additional ("abc") 2 arm left parasternal electrodes were recorded 66 patients...

10.1016/j.jacadv.2023.100454 article EN cc-by JACC Advances 2023-07-27

Abstract Wearable smart monitors (WSMs) applied for the estimation of electrophysiological signals are utmost interest a non-stressed life. WSM which records heart muscle activities could signalize timely life-threatening event. The typically recorded across at surface body; hence, monitor requires high-quality electrodes. electrodes used in clinical settings [i.e. silver/silver chloride (Ag/AgCl) with gel] not practical daily out clinic usage. A application dry electrode stable and...

10.1515/bmt-2019-0167 article EN Biomedical Engineering / Biomedizinische Technik 2020-04-01

Mechanical physiological pulsations are movements of a body surface incited by the muscles in organs inside body. Here we demonstrate use long-period grating sensors detection cardio-vascular (CVP), particular apex and carotid pulsations. To calibrate sensors, mechanical tool designed specifically to measure sensor response localized perturbation at different curvatures as working points. From data infer amplitude CVP. Together with electrophysiological signals, CVP signals obtained from can...

10.1088/0031-8949/2013/t157/014022 article EN Physica Scripta 2013-11-01

Accurate automated detection of premature ventricular contractions from electrocardiogram requires a training set or expert intervention. We propose fully unsupervised method. The algorithm first clusters morphologically similar heartbeats and then performs classification based on RR intervals morphology. Tests clinically recorded datasets show sensitivity 94.7%, specificity 99.6% accuracy 99.5%.

10.1109/neurel.2018.8586997 article EN 2018-11-01

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Goal:</i> 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 noise-removal techniques has commonly been approached by algorithm testing contaminated ECG constructed...

10.1109/ojemb.2023.3330295 article EN cc-by-nc-nd IEEE Open Journal of Engineering in Medicine and Biology 2023-01-01

Clinical outcomes of several acute conditions, including myocardial infarction (MI), the most common cause death, can be improved by timely diagnostics based on electrocardiography (ECG). However, current diagnostic technologies include a large number wired ECG electrodes, which require accurate placement trained personnel. The ideal device would suitable for self-measurement, i.e., have small mobile or portable, and provide an diagnosis. these aims not been met using same device. A recently...

10.1109/access.2024.3408412 article EN cc-by-nc-nd IEEE Access 2024-01-01

Fotopletizmografski signali, zajedno sa elektrokardiografskim i fonokardiografskim signalima, mogu pružiti uvid u sistolne vremenske intervale, utvrđene pokazatelje srčane insuficijencije, na osnovu specifičnih tačaka od interesa. U te svrhe bila bi potrebna anotacija ovakvih strane medi-cinskih stručnjaka, što pri manipulaciji velikim bazama podataka predstavlja vremenski zahtevnu skupu proceduru. Cilj ovog rada jeste identifikacija prototipskih oblika fotopletizmografskog signala...

10.69994/68e24013 article HR 2024-07-31

Introduction: Early prehospital chest pain assessment improves acute coronary syndrome (ACS) outcomes and can reduce unnecessary Emergency Room (ER) visits but requires medical personnel electrocardiographic (ECG) equipment. Objective: To evaluate the feasibility of a personal credit-card sized self-assessment device (HeartBeam, Santa Clara, CA, USA) in diagnosing ACS. Methods: ACS risk was estimated by serial likelihood ratio analysis 3 components: pre-existing heart disease (CHD)...

10.1161/circ.150.suppl_1.4120657 article EN Circulation 2024-11-12

Background: The multiple electrodes needed to generate a 12-lead electrocardiogram (12L ECG) limits its use traditional health care settings. An innovative credit-card sized unit (HeartBeam, Santa Clara, CA, USA) when placed on the chest without cables captures vectorcardiogram (VCG). A personalized transformation matrix (PTM) then converts signals into 12L ECG. Objective: This is first quantitative (standard intervals and amplitudes) qualitative (rhythm diagnosis) accuracy assessment of...

10.1161/circ.150.suppl_1.4141704 article EN Circulation 2024-11-12

ECG measurements at rest are susceptible to different kinds of noise which may affect clinical interpretation. Unlike the low-frequency body movements or spectrally well-defined power line interference, broadband electromyographic (EMG) coincides with QRS complex, makes its removal particularly challenging. While a number algorithms have been developed, their evaluation and comparison long remained challenging due lack database EMG-contaminated genuine noise-free signals. We recently...

10.69994/11ic24007 article EN 2024-07-31

We report the preliminary results of a laboratory validation study new polycardiographic device for assessment cardiovascular function (SensSmartTech). The main principle behind polycardiography is synchronized measurement multiple electro- mechanical parameters system. non-invasive and entails electrocardiography, photoplethysmography, phonography seismography. study’s validate use proposed policardiograph implementation in settings with varying physiological conditions both clinical...

10.46793/iccbi23.043l article EN 2023-01-01
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