TY  - JOUR
AU  - Atanasoski, Vladimir
AU  - Petrović, Jovana S.
AU  - Popović Maneski, Lana
AU  - Miletić, Marjan
AU  - Babić, Miloš
AU  - Nikolić, Aleksandra
AU  - Panescu, Dorin
AU  - Ivanović, Marija D.
PY  - 2024
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/13128
AB  - 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 algorithms often distort signal morphology, thus obscuring diagnostically relevant information. Here, a new iterative regeneration method (IRM) for efficient EMG-noise suppression is proposed. The main hypothesis is that the temporary removal of the dominant ECG components enables extraction of the noise with the minimum alteration to the signal. The method is validated on SimEMG database of simultaneously recorded reference and noisy signals, MIT-BIH arrhythmia database and synthesized ECG signals, both with the noise from MIT Noise Stress Test Database. IRM denoising and morphology-preserving performance is superior to the wavelet- and FIR-based benchmark methods. : IRM is reliable, computationally non-intensive, fast and applicable to any number of ECG channels recorded by mobile or standard ECG devices.
T2  - IEEE Open Journal of Engineering in Medicine and Biology
T1  - A morphology-preserving algorithm for denoising of EMG-contaminated ECG signals
SP  - 1
EP  - 10
DO  - 10.1109/OJEMB.2024.3380352
ER  - 

@article{
author = "Atanasoski, Vladimir and Petrović, Jovana S. and Popović Maneski, Lana and Miletić, Marjan and Babić, Miloš and Nikolić, Aleksandra and Panescu, Dorin and Ivanović, Marija D.",
year = "2024",
abstract = "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 algorithms often distort signal morphology, thus obscuring diagnostically relevant information. Here, a new iterative regeneration method (IRM) for efficient EMG-noise suppression is proposed. The main hypothesis is that the temporary removal of the dominant ECG components enables extraction of the noise with the minimum alteration to the signal. The method is validated on SimEMG database of simultaneously recorded reference and noisy signals, MIT-BIH arrhythmia database and synthesized ECG signals, both with the noise from MIT Noise Stress Test Database. IRM denoising and morphology-preserving performance is superior to the wavelet- and FIR-based benchmark methods. : IRM is reliable, computationally non-intensive, fast and applicable to any number of ECG channels recorded by mobile or standard ECG devices.",
journal = "IEEE Open Journal of Engineering in Medicine and Biology",
title = "A morphology-preserving algorithm for denoising of EMG-contaminated ECG signals",
pages = "1-10",
doi = "10.1109/OJEMB.2024.3380352"
}

Atanasoski, V., Petrović, J. S., Popović Maneski, L., Miletić, M., Babić, M., Nikolić, A., Panescu, D.,& Ivanović, M. D.. (2024). A morphology-preserving algorithm for denoising of EMG-contaminated ECG signals. in IEEE Open Journal of Engineering in Medicine and Biology, 1-10.
https://doi.org/10.1109/OJEMB.2024.3380352

Atanasoski V, Petrović JS, Popović Maneski L, Miletić M, Babić M, Nikolić A, Panescu D, Ivanović MD. A morphology-preserving algorithm for denoising of EMG-contaminated ECG signals. in IEEE Open Journal of Engineering in Medicine and Biology. 2024;:1-10.
doi:10.1109/OJEMB.2024.3380352 .

Atanasoski, Vladimir, Petrović, Jovana S., Popović Maneski, Lana, Miletić, Marjan, Babić, Miloš, Nikolić, Aleksandra, Panescu, Dorin, Ivanović, Marija D., "A morphology-preserving algorithm for denoising of EMG-contaminated ECG signals" in IEEE Open Journal of Engineering in Medicine and Biology (2024):1-10,
https://doi.org/10.1109/OJEMB.2024.3380352 . .

TY  - CONF
AU  - Atanasoski, Vladimir
AU  - Lazović, Aleksandar
AU  - Ivanović, Marija
AU  - Hadžievski, Ljupčo
AU  - Bojović, Boško
AU  - Petrović, Jovana
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/13045
AB  - Photoplethysmography (PPG) has become a standard method for assessment of blood volume changes in clinical care and heart rate in home care [1]. Besides the pulse rate, PPG pulse forms carry signatures of diagnostically relevant events in cardiac cycle and can be used to estimate arterial stiffness. Extraction of these features requires removal of noise, motion artifacts and the superimposed slow varying signals, such as that from breathing, from the signal while preserving pulse morphology. However, modern filtering methods often fail to reproduce all signal features. Here, we propose a novel noise–removal method based on autocorrelation. Autocorrelation is a well-known method used in optics, mainly for estimating the duration of ultrashort laser pulses. We used autocorrelation to remove the noise and baseline wander (BLW) from a set of bioelectrical signals, namely electrocardiogram (ECG) and PPG. These signals comprise pulses (or beats) repeated in time but with slight changes. When we record several such beats and by averaging them get a noise-free signal with distorted morphology. However, taking a few steps further, namely subtracting the average from the original signal and filtering the difference in the frequency domain, enables the noise and BLW extraction from the original signal and reproduction of a faithful noise-free signal. We tested this method on the private ECG database, where added BLW component is from public MIT-NST database, and on the private PPG signals. The results show the superiority of our approach compared to the conventional cubic spline (CSP) method.
PB  - Belgrade : Institute of Physics
C3  - 16th Photonics Workshop : Book of abstracts
T1  - Autocorrelation for denoising biomedical signals
SP  - 25
EP  - 25
UR  - https://hdl.handle.net/21.15107/rcub_vinar_13045
ER  - 

@conference{
author = "Atanasoski, Vladimir and Lazović, Aleksandar and Ivanović, Marija and Hadžievski, Ljupčo and Bojović, Boško and Petrović, Jovana",
year = "2023",
abstract = "Photoplethysmography (PPG) has become a standard method for assessment of blood volume changes in clinical care and heart rate in home care [1]. Besides the pulse rate, PPG pulse forms carry signatures of diagnostically relevant events in cardiac cycle and can be used to estimate arterial stiffness. Extraction of these features requires removal of noise, motion artifacts and the superimposed slow varying signals, such as that from breathing, from the signal while preserving pulse morphology. However, modern filtering methods often fail to reproduce all signal features. Here, we propose a novel noise–removal method based on autocorrelation. Autocorrelation is a well-known method used in optics, mainly for estimating the duration of ultrashort laser pulses. We used autocorrelation to remove the noise and baseline wander (BLW) from a set of bioelectrical signals, namely electrocardiogram (ECG) and PPG. These signals comprise pulses (or beats) repeated in time but with slight changes. When we record several such beats and by averaging them get a noise-free signal with distorted morphology. However, taking a few steps further, namely subtracting the average from the original signal and filtering the difference in the frequency domain, enables the noise and BLW extraction from the original signal and reproduction of a faithful noise-free signal. We tested this method on the private ECG database, where added BLW component is from public MIT-NST database, and on the private PPG signals. The results show the superiority of our approach compared to the conventional cubic spline (CSP) method.",
publisher = "Belgrade : Institute of Physics",
journal = "16th Photonics Workshop : Book of abstracts",
title = "Autocorrelation for denoising biomedical signals",
pages = "25-25",
url = "https://hdl.handle.net/21.15107/rcub_vinar_13045"
}

Atanasoski, V., Lazović, A., Ivanović, M., Hadžievski, L., Bojović, B.,& Petrović, J.. (2023). Autocorrelation for denoising biomedical signals. in 16th Photonics Workshop : Book of abstracts
Belgrade : Institute of Physics., 25-25.
https://hdl.handle.net/21.15107/rcub_vinar_13045

Atanasoski V, Lazović A, Ivanović M, Hadžievski L, Bojović B, Petrović J. Autocorrelation for denoising biomedical signals. in 16th Photonics Workshop : Book of abstracts. 2023;:25-25.
https://hdl.handle.net/21.15107/rcub_vinar_13045 .

Atanasoski, Vladimir, Lazović, Aleksandar, Ivanović, Marija, Hadžievski, Ljupčo, Bojović, Boško, Petrović, Jovana, "Autocorrelation for denoising biomedical signals" in 16th Photonics Workshop : Book of abstracts (2023):25-25,
https://hdl.handle.net/21.15107/rcub_vinar_13045 .

TY  - JOUR
AU  - Atanasoski, Vladimir
AU  - Petrović, Jovana
AU  - Popović Maneski, Lana
AU  - Miletić, Marjan
AU  - Babić, Miloš
AU  - Nikolić, Aleksandra
AU  - Panescu, Dorin
AU  - Ivanović, Marija D.
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/12047
AB  - 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 the noise-removal techniques has commonly been approached by algorithm testing on the contaminated ECG signals constructed ad hoc as an additive mixture of a noise-free ECG signal and noise. Consequently, there is an absence of a unique/standard database for testing and comparing different denoising methods. We present a SimEMG database recorded by a novel acquisition method that allows for direct recording of the genuine EMG-noise-free and -contaminated ECG signals. The database is available as open source.
T2  - IEEE Open Journal of Engineering in Medicine and Biology
T1  - A database of simultaneously recorded ECG signals with and without EMG noise
SP  - 1
EP  - 4
DO  - 10.1109/OJEMB.2023.3330295
ER  - 

@article{
author = "Atanasoski, Vladimir and Petrović, Jovana and Popović Maneski, Lana and Miletić, Marjan and Babić, Miloš and Nikolić, Aleksandra and Panescu, Dorin and Ivanović, Marija D.",
year = "2023",
abstract = "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 the noise-removal techniques has commonly been approached by algorithm testing on the contaminated ECG signals constructed ad hoc as an additive mixture of a noise-free ECG signal and noise. Consequently, there is an absence of a unique/standard database for testing and comparing different denoising methods. We present a SimEMG database recorded by a novel acquisition method that allows for direct recording of the genuine EMG-noise-free and -contaminated ECG signals. The database is available as open source.",
journal = "IEEE Open Journal of Engineering in Medicine and Biology",
title = "A database of simultaneously recorded ECG signals with and without EMG noise",
pages = "1-4",
doi = "10.1109/OJEMB.2023.3330295"
}

Atanasoski, V., Petrović, J., Popović Maneski, L., Miletić, M., Babić, M., Nikolić, A., Panescu, D.,& Ivanović, M. D.. (2023). A database of simultaneously recorded ECG signals with and without EMG noise. in IEEE Open Journal of Engineering in Medicine and Biology, 1-4.
https://doi.org/10.1109/OJEMB.2023.3330295

Atanasoski V, Petrović J, Popović Maneski L, Miletić M, Babić M, Nikolić A, Panescu D, Ivanović MD. A database of simultaneously recorded ECG signals with and without EMG noise. in IEEE Open Journal of Engineering in Medicine and Biology. 2023;:1-4.
doi:10.1109/OJEMB.2023.3330295 .

Atanasoski, Vladimir, Petrović, Jovana, Popović Maneski, Lana, Miletić, Marjan, Babić, Miloš, Nikolić, Aleksandra, Panescu, Dorin, Ivanović, Marija D., "A database of simultaneously recorded ECG signals with and without EMG noise" in IEEE Open Journal of Engineering in Medicine and Biology (2023):1-4,
https://doi.org/10.1109/OJEMB.2023.3330295 . .

TY  - JOUR
AU  - Shvilkin, Alexei
AU  - Vukajlović, Dejan
AU  - Bojović, Boško P.
AU  - Hadžievski, Ljupčo
AU  - Vajdic, Branislav
AU  - Atanasoski, Vladimir
AU  - Miletić, Marjan
AU  - Zimetbaum, Peter J.
AU  - Gibson, C. Michael
AU  - Vukčević, Vladan
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/12393
AB  - Background Early coronary occlusion detection by portable personal device with limited number of electrocardiographic (ECG) leads might shorten symptom-to-balloon time in acute coronary syndromes.  Objectives The purpose of this study was to compare the accuracy of coronary occlusion detection using vectorcardgiographic analysis of a near-orthogonal 3-lead ECG configuration suitable for credit card-size personal device integration with automated and human 12 lead ECG interpretation.  Methods The 12-lead ECGs with 3 additional leads (“abc”) using 2 arm and 2 left parasternal electrodes were recorded in 66 patients undergoing percutaneous coronary intervention prior to (“baseline”, n = 66), immediately before (“preinflation”, n = 66), and after 90-second balloon coronary occlusion (“inflation”, n = 120). Performance of computer-measured ST-segment shift on vectorcardgiographic loops constructed from “abc” and 12 leads, standard 12-lead ECG, and consensus human interpretation in coronary occlusion detection were compared in “comparative” and “spot” modes (with/without reference to “baseline”) using areas under ROC curves (AUC), reliability, and sensitivity/specificity analysis.  Results Comparative “abc”-derived ST-segment shift was similar to two 12-lead methods (vector/traditional) in detecting balloon coronary occlusion (AUC = 0.95, 0.96, and 0.97, respectively, P = NS). Spot “abc” and 12-lead measurements (AUC = 0.72, 0.77, 0.68, respectively, P = NS) demonstrated poorer performance (P < 0.01 vs comparative measurements). Reliability analysis demonstrated comparative automated measurements in “good” agreement with reference (preinflation/inflation), while comparative human interpretation was in “moderate” range. Spot automated and human reading showed “poor” agreement.  Conclusions Vectorcardiographic ST-segment analysis using baseline comparison of 3-lead ECG system suitable for credit card-size personal device integration is similar to established 12-lead ECG methods in detecting balloon coronary occlusion.
T2  - JACC: Advances
T1  - Coronary Artery Occlusion Detection Using 3-Lead ECG System Suitable for Credit Card-Size Personal Device Integration
VL  - 2
IS  - 6
SP  - 100454
DO  - 10.1016/j.jacadv.2023.100454
ER  - 

@article{
author = "Shvilkin, Alexei and Vukajlović, Dejan and Bojović, Boško P. and Hadžievski, Ljupčo and Vajdic, Branislav and Atanasoski, Vladimir and Miletić, Marjan and Zimetbaum, Peter J. and Gibson, C. Michael and Vukčević, Vladan",
year = "2023",
abstract = "Background Early coronary occlusion detection by portable personal device with limited number of electrocardiographic (ECG) leads might shorten symptom-to-balloon time in acute coronary syndromes.  Objectives The purpose of this study was to compare the accuracy of coronary occlusion detection using vectorcardgiographic analysis of a near-orthogonal 3-lead ECG configuration suitable for credit card-size personal device integration with automated and human 12 lead ECG interpretation.  Methods The 12-lead ECGs with 3 additional leads (“abc”) using 2 arm and 2 left parasternal electrodes were recorded in 66 patients undergoing percutaneous coronary intervention prior to (“baseline”, n = 66), immediately before (“preinflation”, n = 66), and after 90-second balloon coronary occlusion (“inflation”, n = 120). Performance of computer-measured ST-segment shift on vectorcardgiographic loops constructed from “abc” and 12 leads, standard 12-lead ECG, and consensus human interpretation in coronary occlusion detection were compared in “comparative” and “spot” modes (with/without reference to “baseline”) using areas under ROC curves (AUC), reliability, and sensitivity/specificity analysis.  Results Comparative “abc”-derived ST-segment shift was similar to two 12-lead methods (vector/traditional) in detecting balloon coronary occlusion (AUC = 0.95, 0.96, and 0.97, respectively, P = NS). Spot “abc” and 12-lead measurements (AUC = 0.72, 0.77, 0.68, respectively, P = NS) demonstrated poorer performance (P < 0.01 vs comparative measurements). Reliability analysis demonstrated comparative automated measurements in “good” agreement with reference (preinflation/inflation), while comparative human interpretation was in “moderate” range. Spot automated and human reading showed “poor” agreement.  Conclusions Vectorcardiographic ST-segment analysis using baseline comparison of 3-lead ECG system suitable for credit card-size personal device integration is similar to established 12-lead ECG methods in detecting balloon coronary occlusion.",
journal = "JACC: Advances",
title = "Coronary Artery Occlusion Detection Using 3-Lead ECG System Suitable for Credit Card-Size Personal Device Integration",
volume = "2",
number = "6",
pages = "100454",
doi = "10.1016/j.jacadv.2023.100454"
}

Shvilkin, A., Vukajlović, D., Bojović, B. P., Hadžievski, L., Vajdic, B., Atanasoski, V., Miletić, M., Zimetbaum, P. J., Gibson, C. M.,& Vukčević, V.. (2023). Coronary Artery Occlusion Detection Using 3-Lead ECG System Suitable for Credit Card-Size Personal Device Integration. in JACC: Advances, 2(6), 100454.
https://doi.org/10.1016/j.jacadv.2023.100454

Shvilkin A, Vukajlović D, Bojović BP, Hadžievski L, Vajdic B, Atanasoski V, Miletić M, Zimetbaum PJ, Gibson CM, Vukčević V. Coronary Artery Occlusion Detection Using 3-Lead ECG System Suitable for Credit Card-Size Personal Device Integration. in JACC: Advances. 2023;2(6):100454.
doi:10.1016/j.jacadv.2023.100454 .

Shvilkin, Alexei, Vukajlović, Dejan, Bojović, Boško P., Hadžievski, Ljupčo, Vajdic, Branislav, Atanasoski, Vladimir, Miletić, Marjan, Zimetbaum, Peter J., Gibson, C. Michael, Vukčević, Vladan, "Coronary Artery Occlusion Detection Using 3-Lead ECG System Suitable for Credit Card-Size Personal Device Integration" in JACC: Advances, 2, no. 6 (2023):100454,
https://doi.org/10.1016/j.jacadv.2023.100454 . .

TY  - JOUR
AU  - Popović Maneski, Lana
AU  - Ivanović, Marija D.
AU  - Atanasoski, Vladimir
AU  - Miletić, Marjan
AU  - Zdolšek, Sanja
AU  - Bojović, Boško
AU  - Hadžievski, Ljupčo
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8940
AB  - 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 activities are typically recorded across the heart at the surface of the body; hence, a WSM monitor requires high-quality surface electrodes. The electrodes used in the clinical settings [i.e. silver/silver chloride (Ag/AgCl) with the gel] are not practical for the daily out of clinic usage. A practical WSM requires the application of a dry electrode with stable and reproducible electrical characteristics. We compared the characteristics of six types of dry electrodes and one gelled electrode during short-term recordings sessions (≈30 s) in real-life conditions: Orbital, monolithic polymer plated with Ag/AgCl, and five rectangular shaped 10 × 6 × 2 mm electrodes (Orbital, Ag electrode, Ag/AgCl electrode, gold electrode and stainless-steel AISI304). The results of a well-controlled analysis which considered motion artifacts, line noise and junction potentials suggest that among the dry electrodes Ag/AgCl performs the best. The Ag/AgCl electrode is in average three times better compared with the stainless-steel electrode often used in WSMs.
T2  - Biomedical Engineering / Biomedizinische Technik
T1  - Properties of different types of dry electrodes for wearable smart monitoring devices
VL  - 65
IS  - 4
SP  - 405
EP  - 415
DO  - 10.1515/bmt-2019-0167
ER  - 

@article{
author = "Popović Maneski, Lana and Ivanović, Marija D. and Atanasoski, Vladimir and Miletić, Marjan and Zdolšek, Sanja and Bojović, Boško and Hadžievski, Ljupčo",
year = "2020",
abstract = "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 activities are typically recorded across the heart at the surface of the body; hence, a WSM monitor requires high-quality surface electrodes. The electrodes used in the clinical settings [i.e. silver/silver chloride (Ag/AgCl) with the gel] are not practical for the daily out of clinic usage. A practical WSM requires the application of a dry electrode with stable and reproducible electrical characteristics. We compared the characteristics of six types of dry electrodes and one gelled electrode during short-term recordings sessions (≈30 s) in real-life conditions: Orbital, monolithic polymer plated with Ag/AgCl, and five rectangular shaped 10 × 6 × 2 mm electrodes (Orbital, Ag electrode, Ag/AgCl electrode, gold electrode and stainless-steel AISI304). The results of a well-controlled analysis which considered motion artifacts, line noise and junction potentials suggest that among the dry electrodes Ag/AgCl performs the best. The Ag/AgCl electrode is in average three times better compared with the stainless-steel electrode often used in WSMs.",
journal = "Biomedical Engineering / Biomedizinische Technik",
title = "Properties of different types of dry electrodes for wearable smart monitoring devices",
volume = "65",
number = "4",
pages = "405-415",
doi = "10.1515/bmt-2019-0167"
}

Popović Maneski, L., Ivanović, M. D., Atanasoski, V., Miletić, M., Zdolšek, S., Bojović, B.,& Hadžievski, L.. (2020). Properties of different types of dry electrodes for wearable smart monitoring devices. in Biomedical Engineering / Biomedizinische Technik, 65(4), 405-415.
https://doi.org/10.1515/bmt-2019-0167

Popović Maneski L, Ivanović MD, Atanasoski V, Miletić M, Zdolšek S, Bojović B, Hadžievski L. Properties of different types of dry electrodes for wearable smart monitoring devices. in Biomedical Engineering / Biomedizinische Technik. 2020;65(4):405-415.
doi:10.1515/bmt-2019-0167 .

Popović Maneski, Lana, Ivanović, Marija D., Atanasoski, Vladimir, Miletić, Marjan, Zdolšek, Sanja, Bojović, Boško, Hadžievski, Ljupčo, "Properties of different types of dry electrodes for wearable smart monitoring devices" in Biomedical Engineering / Biomedizinische Technik, 65, no. 4 (2020):405-415,
https://doi.org/10.1515/bmt-2019-0167 . .

TY  - CONF
AU  - Miletić, M.
AU  - Kršić, Jelena
AU  - Atanasoski, Vladimir
AU  - Ivanović, Marija
AU  - Bojović, Boško
PY  - 2019
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11880
AB  - Apexcardiogram (ACG) represents record of low-frequency vibrations of the precordium caused by heart contractions. The information obtained from ACG is mostly related to left ventricular contractions. The most common position for its measurement is in parasternal area of chest wall, above the apex of the heart. The measurement of ACG can provide date significant in timing of systolic events of the cardiac cycle. Particulary, ACG is used as aid in timing of the opening snap of the cardiac valves, for the identification of the exact timing of the third (S3) and fourth heart sounds (S4) and for early diagnosis of the mitral valve stenosis or regurgitation [1]. The frequently used methods for non-invasively recording of ACG include using of electro manometer sensor, piezoelectric microphone sensor and crystal-microphone sensor for measuring mechanical displacements of chest wall [2]. The disadvantages of these sensors are potential noise caused by electrical interference and technical difficulties in their application on body surface. The goal of this study is to evaluate possibility of using long-period grating (LPG) sensor as potential non-invasive method for ACG recording. The advantages of utilizing LPG sensors are their low cost, utilization simplicity, and insensitivity to electrical interference. The study protocol includes measurements on group of healthy volunteers utilizing a single LPG sensor. LPG sensor is positioned in paternal area of chest wall, above the apex of the heart and fixed with the elastic bandage. It is used as a sensor of mechanical pulsation on the body surface. All healthy volunteers are asked to hold their breath in mid-expiration phase for at least 10 seconds in order to avoid the interference of the ACG with a breathing signal. Our results show that we are able to record signals with morphology of normal ACG repeatably on each healthy volunteer, and with the significant signal-to-noise ratio. Hence, we can conclude that LPG sensors can be used for recording ACG by measuring mechanical low-frequency vibrations of the precordium on the body surface above the apex of the heart.
PB  - Belgrade : Vinča Institute of Nuclear Sciences, University of Belgrade
C3  - PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts
T1  - Long-period grating sensors for the measurement of apexcardiogram
SP  - 131
EP  - 131
UR  - https://hdl.handle.net/21.15107/rcub_vinar_11880
ER  - 

@conference{
author = "Miletić, M. and Kršić, Jelena and Atanasoski, Vladimir and Ivanović, Marija and Bojović, Boško",
year = "2019",
abstract = "Apexcardiogram (ACG) represents record of low-frequency vibrations of the precordium caused by heart contractions. The information obtained from ACG is mostly related to left ventricular contractions. The most common position for its measurement is in parasternal area of chest wall, above the apex of the heart. The measurement of ACG can provide date significant in timing of systolic events of the cardiac cycle. Particulary, ACG is used as aid in timing of the opening snap of the cardiac valves, for the identification of the exact timing of the third (S3) and fourth heart sounds (S4) and for early diagnosis of the mitral valve stenosis or regurgitation [1]. The frequently used methods for non-invasively recording of ACG include using of electro manometer sensor, piezoelectric microphone sensor and crystal-microphone sensor for measuring mechanical displacements of chest wall [2]. The disadvantages of these sensors are potential noise caused by electrical interference and technical difficulties in their application on body surface. The goal of this study is to evaluate possibility of using long-period grating (LPG) sensor as potential non-invasive method for ACG recording. The advantages of utilizing LPG sensors are their low cost, utilization simplicity, and insensitivity to electrical interference. The study protocol includes measurements on group of healthy volunteers utilizing a single LPG sensor. LPG sensor is positioned in paternal area of chest wall, above the apex of the heart and fixed with the elastic bandage. It is used as a sensor of mechanical pulsation on the body surface. All healthy volunteers are asked to hold their breath in mid-expiration phase for at least 10 seconds in order to avoid the interference of the ACG with a breathing signal. Our results show that we are able to record signals with morphology of normal ACG repeatably on each healthy volunteer, and with the significant signal-to-noise ratio. Hence, we can conclude that LPG sensors can be used for recording ACG by measuring mechanical low-frequency vibrations of the precordium on the body surface above the apex of the heart.",
publisher = "Belgrade : Vinča Institute of Nuclear Sciences, University of Belgrade",
journal = "PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts",
title = "Long-period grating sensors for the measurement of apexcardiogram",
pages = "131-131",
url = "https://hdl.handle.net/21.15107/rcub_vinar_11880"
}

Miletić, M., Kršić, J., Atanasoski, V., Ivanović, M.,& Bojović, B.. (2019). Long-period grating sensors for the measurement of apexcardiogram. in PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts
Belgrade : Vinča Institute of Nuclear Sciences, University of Belgrade., 131-131.
https://hdl.handle.net/21.15107/rcub_vinar_11880

Miletić M, Kršić J, Atanasoski V, Ivanović M, Bojović B. Long-period grating sensors for the measurement of apexcardiogram. in PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts. 2019;:131-131.
https://hdl.handle.net/21.15107/rcub_vinar_11880 .

Miletić, M., Kršić, Jelena, Atanasoski, Vladimir, Ivanović, Marija, Bojović, Boško, "Long-period grating sensors for the measurement of apexcardiogram" in PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts (2019):131-131,
https://hdl.handle.net/21.15107/rcub_vinar_11880 .

TY  - CONF
AU  - Ivanović, Marija D.
AU  - Atanasoski, Vladimir
AU  - Shvilkin, Alexei
AU  - Hadžievski, Ljupčo
AU  - Maluckov, Aleksandra
PY  - 2019
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8805
AB  - 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 performances, little attention has been given to distinguishing these two arrhythmias. In this study, we propose a deep neural network architecture, which combines convolutional and recurrent neural networks, for extracting features from sequence of RR intervals. The learned features were used to classify a long term ECG signals as AF, AFL or sinus rhythm (SR). A 10-fold cross-validation strategy was used for choosing an architecture design and tuning model hyperparameters. Accuracy of 88.28 %, with the sensitivities of 93.83%, 83.60% and 83.83% for SR, AF and AFL, respectively, was achieved. After choosing optimal network structure, the model was trained on the entire training set and finally evaluated on the blindfold test set which resulted in 89.67% accuracy, and 97.20%, 94.20%, and 77.78% sensitivity for SR, AF and AFL, respectively. Promising performances of the proposed model encourage continuing development of highly specific AF and AFL detection procedure based on deep learning. Distinction between these two arrhythmias can make therapy more efficient and decrease the recovery time to normal heart rhythm. © 2019 IEEE.
PB  - IEEE
C3  - Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (41; 2019; Berlin)
T1  - Deep Learning Approach for Highly Specific Atrial Fibrillation and Flutter Detection based on RR Intervals
SP  - 1780
EP  - 1783
DO  - 10.1109/EMBC.2019.8856806
ER  - 

@conference{
author = "Ivanović, Marija D. and Atanasoski, Vladimir and Shvilkin, Alexei and Hadžievski, Ljupčo and Maluckov, Aleksandra",
year = "2019",
abstract = "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 performances, little attention has been given to distinguishing these two arrhythmias. In this study, we propose a deep neural network architecture, which combines convolutional and recurrent neural networks, for extracting features from sequence of RR intervals. The learned features were used to classify a long term ECG signals as AF, AFL or sinus rhythm (SR). A 10-fold cross-validation strategy was used for choosing an architecture design and tuning model hyperparameters. Accuracy of 88.28 %, with the sensitivities of 93.83%, 83.60% and 83.83% for SR, AF and AFL, respectively, was achieved. After choosing optimal network structure, the model was trained on the entire training set and finally evaluated on the blindfold test set which resulted in 89.67% accuracy, and 97.20%, 94.20%, and 77.78% sensitivity for SR, AF and AFL, respectively. Promising performances of the proposed model encourage continuing development of highly specific AF and AFL detection procedure based on deep learning. Distinction between these two arrhythmias can make therapy more efficient and decrease the recovery time to normal heart rhythm. © 2019 IEEE.",
publisher = "IEEE",
journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (41; 2019; Berlin)",
title = "Deep Learning Approach for Highly Specific Atrial Fibrillation and Flutter Detection based on RR Intervals",
pages = "1780-1783",
doi = "10.1109/EMBC.2019.8856806"
}

Ivanović, M. D., Atanasoski, V., Shvilkin, A., Hadžievski, L.,& Maluckov, A.. (2019). Deep Learning Approach for Highly Specific Atrial Fibrillation and Flutter Detection based on RR Intervals. in Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (41; 2019; Berlin)
IEEE., 1780-1783.
https://doi.org/10.1109/EMBC.2019.8856806

Ivanović MD, Atanasoski V, Shvilkin A, Hadžievski L, Maluckov A. Deep Learning Approach for Highly Specific Atrial Fibrillation and Flutter Detection based on RR Intervals. in Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (41; 2019; Berlin). 2019;:1780-1783.
doi:10.1109/EMBC.2019.8856806 .

Ivanović, Marija D., Atanasoski, Vladimir, Shvilkin, Alexei, Hadžievski, Ljupčo, Maluckov, Aleksandra, "Deep Learning Approach for Highly Specific Atrial Fibrillation and Flutter Detection based on RR Intervals" in Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (41; 2019; Berlin) (2019):1780-1783,
https://doi.org/10.1109/EMBC.2019.8856806 . .

TY  - CONF
AU  - Kršić, Jelena
AU  - Miletić, Marjan
AU  - Atanasoski, Vladimir
AU  - Hadžievski, Ljupčo
AU  - Ivanović, Marija
PY  - 2019
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11892
AB  - The measurement of arterial blood pressure waveform can provide important data about arterial health, from which general cardiovascular health can be estimated. The arterial blood pressure wave is created by heart contraction which then propagates along the arterial tree. Along its path, the pressure wave causes the distention of arterial walls which consequently can be palpated and measured as micro-movements on the surface of the body. The most frequently used places on the body for recording of the blood pressure waveform are in the fingers and above the radial artery on the wrist. However, since waveforms recorded on the periphery of the body alter from central ones, there is the necessity for non-invasive measurements closer to the ascending aorta [1]. The purpose of this study was to evaluate the possibility of utilizing the superficial temporal artery (STA) as a potential candidate for obtaining arterial waveform recorded non-invasively by fiber grating sensors. The STA is a terminal branch of the external carotid artery and it represents the major artery of the head. The sites over the main branch (near the ear) and the frontal branch of the STA (near ocular area) are easily accessible ones with negligible amounts of fat and muscle tissues. Assessment tests were carried out by using fiber grating sensors (fiber Bragg grating (FBG) and long-period grating (LPG)) as sensors of the arterial distention movement. Here we were focused on the possibility to record the STA pulsations in healthy volunteers when the sensors were just placed on the skin over the STA and fixed with the tape or elastic bandage. Our results show that with this type of application, LPG technology outperformed FBG in a sense of sensitivity and signal to noise ratio. The reason possibly lies in the fact that cladding modes generated by an LPG are much more affected by arterial distention than back-propagating core modes of an FBG [2]. By using LPG sensor we were able to record STA pulsations in all volunteers.
PB  - Belgrade : Vinča Institute of Nuclear Sciences, University of Belgrade
C3  - PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts
T1  - Optical fiber grating sensors for the measurement of superficial temporal artery pulsations
SP  - 121
EP  - 121
UR  - https://hdl.handle.net/21.15107/rcub_vinar_11892
ER  - 

@conference{
author = "Kršić, Jelena and Miletić, Marjan and Atanasoski, Vladimir and Hadžievski, Ljupčo and Ivanović, Marija",
year = "2019",
abstract = "The measurement of arterial blood pressure waveform can provide important data about arterial health, from which general cardiovascular health can be estimated. The arterial blood pressure wave is created by heart contraction which then propagates along the arterial tree. Along its path, the pressure wave causes the distention of arterial walls which consequently can be palpated and measured as micro-movements on the surface of the body. The most frequently used places on the body for recording of the blood pressure waveform are in the fingers and above the radial artery on the wrist. However, since waveforms recorded on the periphery of the body alter from central ones, there is the necessity for non-invasive measurements closer to the ascending aorta [1]. The purpose of this study was to evaluate the possibility of utilizing the superficial temporal artery (STA) as a potential candidate for obtaining arterial waveform recorded non-invasively by fiber grating sensors. The STA is a terminal branch of the external carotid artery and it represents the major artery of the head. The sites over the main branch (near the ear) and the frontal branch of the STA (near ocular area) are easily accessible ones with negligible amounts of fat and muscle tissues. Assessment tests were carried out by using fiber grating sensors (fiber Bragg grating (FBG) and long-period grating (LPG)) as sensors of the arterial distention movement. Here we were focused on the possibility to record the STA pulsations in healthy volunteers when the sensors were just placed on the skin over the STA and fixed with the tape or elastic bandage. Our results show that with this type of application, LPG technology outperformed FBG in a sense of sensitivity and signal to noise ratio. The reason possibly lies in the fact that cladding modes generated by an LPG are much more affected by arterial distention than back-propagating core modes of an FBG [2]. By using LPG sensor we were able to record STA pulsations in all volunteers.",
publisher = "Belgrade : Vinča Institute of Nuclear Sciences, University of Belgrade",
journal = "PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts",
title = "Optical fiber grating sensors for the measurement of superficial temporal artery pulsations",
pages = "121-121",
url = "https://hdl.handle.net/21.15107/rcub_vinar_11892"
}

Kršić, J., Miletić, M., Atanasoski, V., Hadžievski, L.,& Ivanović, M.. (2019). Optical fiber grating sensors for the measurement of superficial temporal artery pulsations. in PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts
Belgrade : Vinča Institute of Nuclear Sciences, University of Belgrade., 121-121.
https://hdl.handle.net/21.15107/rcub_vinar_11892

Kršić J, Miletić M, Atanasoski V, Hadžievski L, Ivanović M. Optical fiber grating sensors for the measurement of superficial temporal artery pulsations. in PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts. 2019;:121-121.
https://hdl.handle.net/21.15107/rcub_vinar_11892 .

Kršić, Jelena, Miletić, Marjan, Atanasoski, Vladimir, Hadžievski, Ljupčo, Ivanović, Marija, "Optical fiber grating sensors for the measurement of superficial temporal artery pulsations" in PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts (2019):121-121,
https://hdl.handle.net/21.15107/rcub_vinar_11892 .

TY  - CONF
AU  - Atanasoski, Vladimir
AU  - Ivanović, Marija D.
AU  - Marinković, Miloš
AU  - Gligorić, Goran
AU  - Bojović, Boško
AU  - Shvilkin, Alexei V.
AU  - Petrović, Jovana S.
PY  - 2018
UR  - https://ieeexplore.ieee.org/document/8586997/
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8050
AB  - 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 heartbeats and then performs classification based on RR intervals and morphology. Tests on clinically recorded datasets show sensitivity of 94.7%, specificity of 99.6% and accuracy of 99.5%. © 2018 IEEE.
PB  - IEEE
C3  - 2018 14th Symposium on Neural Networks and Applications (NEUREL)
C3  - 14th Symposium on Neural Networks and Applications (NEUREL) (2018)
T1  - Unsupervised Classification of Premature Ventricular Contractions Based on RR Interval and Heartbeat Morphology
SP  - 1
EP  - 6
DO  - 10.1109/NEUREL.2018.8586997
ER  - 

@conference{
author = "Atanasoski, Vladimir and Ivanović, Marija D. and Marinković, Miloš and Gligorić, Goran and Bojović, Boško and Shvilkin, Alexei V. and Petrović, Jovana S.",
year = "2018",
abstract = "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 heartbeats and then performs classification based on RR intervals and morphology. Tests on clinically recorded datasets show sensitivity of 94.7%, specificity of 99.6% and accuracy of 99.5%. © 2018 IEEE.",
publisher = "IEEE",
journal = "2018 14th Symposium on Neural Networks and Applications (NEUREL), 14th Symposium on Neural Networks and Applications (NEUREL) (2018)",
title = "Unsupervised Classification of Premature Ventricular Contractions Based on RR Interval and Heartbeat Morphology",
pages = "1-6",
doi = "10.1109/NEUREL.2018.8586997"
}

Atanasoski, V., Ivanović, M. D., Marinković, M., Gligorić, G., Bojović, B., Shvilkin, A. V.,& Petrović, J. S.. (2018). Unsupervised Classification of Premature Ventricular Contractions Based on RR Interval and Heartbeat Morphology. in 2018 14th Symposium on Neural Networks and Applications (NEUREL)
IEEE., 1-6.
https://doi.org/10.1109/NEUREL.2018.8586997

Atanasoski V, Ivanović MD, Marinković M, Gligorić G, Bojović B, Shvilkin AV, Petrović JS. Unsupervised Classification of Premature Ventricular Contractions Based on RR Interval and Heartbeat Morphology. in 2018 14th Symposium on Neural Networks and Applications (NEUREL). 2018;:1-6.
doi:10.1109/NEUREL.2018.8586997 .

Atanasoski, Vladimir, Ivanović, Marija D., Marinković, Miloš, Gligorić, Goran, Bojović, Boško, Shvilkin, Alexei V., Petrović, Jovana S., "Unsupervised Classification of Premature Ventricular Contractions Based on RR Interval and Heartbeat Morphology" in 2018 14th Symposium on Neural Networks and Applications (NEUREL) (2018):1-6,
https://doi.org/10.1109/NEUREL.2018.8586997 . .

TY  - JOUR
AU  - Petrović, Marija D.
AU  - Daničić, Aleksandar
AU  - Atanasoski, Vladimir
AU  - Radosavljevic, S.
AU  - Prodanovic, V.
AU  - Miljković, Nadica
AU  - Petrović, Jovana S.
AU  - Petrovic, D.
AU  - Bojović, Boško
AU  - Hadžievski, Ljupčo
AU  - Allsop, Thomas P.
AU  - Lloyd, G.
AU  - Webb, David J.
PY  - 2013
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/7019
AB  - 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 particular apex and carotid pulsations. To calibrate the sensors, we use a mechanical tool designed specifically to measure the sensor response to a localized perturbation at different grating curvatures as working points. From the data we infer the amplitude of the CVP. Together with the electrophysiological signals, the CVP signals obtained from the sensors can provide significant information on heart function which is inaccessible to the electrocardiogram. The low cost and easy handling of the fibre sensors increase their prospects to become the sensors of choice for novel diagnostic devices.
T2  - Physica Scripta
T1  - Fibre-grating sensors for the measurement of physiological pulsations
VL  - T157
SP  - 014022
DO  - 10.1088/0031-8949/2013/T157/014022
ER  - 

@article{
author = "Petrović, Marija D. and Daničić, Aleksandar and Atanasoski, Vladimir and Radosavljevic, S. and Prodanovic, V. and Miljković, Nadica and Petrović, Jovana S. and Petrovic, D. and Bojović, Boško and Hadžievski, Ljupčo and Allsop, Thomas P. and Lloyd, G. and Webb, David J.",
year = "2013",
abstract = "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 particular apex and carotid pulsations. To calibrate the sensors, we use a mechanical tool designed specifically to measure the sensor response to a localized perturbation at different grating curvatures as working points. From the data we infer the amplitude of the CVP. Together with the electrophysiological signals, the CVP signals obtained from the sensors can provide significant information on heart function which is inaccessible to the electrocardiogram. The low cost and easy handling of the fibre sensors increase their prospects to become the sensors of choice for novel diagnostic devices.",
journal = "Physica Scripta",
title = "Fibre-grating sensors for the measurement of physiological pulsations",
volume = "T157",
pages = "014022",
doi = "10.1088/0031-8949/2013/T157/014022"
}

Petrović, M. D., Daničić, A., Atanasoski, V., Radosavljevic, S., Prodanovic, V., Miljković, N., Petrović, J. S., Petrovic, D., Bojović, B., Hadžievski, L., Allsop, T. P., Lloyd, G.,& Webb, D. J.. (2013). Fibre-grating sensors for the measurement of physiological pulsations. in Physica Scripta, T157, 014022.
https://doi.org/10.1088/0031-8949/2013/T157/014022

Petrović MD, Daničić A, Atanasoski V, Radosavljevic S, Prodanovic V, Miljković N, Petrović JS, Petrovic D, Bojović B, Hadžievski L, Allsop TP, Lloyd G, Webb DJ. Fibre-grating sensors for the measurement of physiological pulsations. in Physica Scripta. 2013;T157:014022.
doi:10.1088/0031-8949/2013/T157/014022 .

Petrović, Marija D., Daničić, Aleksandar, Atanasoski, Vladimir, Radosavljevic, S., Prodanovic, V., Miljković, Nadica, Petrović, Jovana S., Petrovic, D., Bojović, Boško, Hadžievski, Ljupčo, Allsop, Thomas P., Lloyd, G., Webb, David J., "Fibre-grating sensors for the measurement of physiological pulsations" in Physica Scripta, T157 (2013):014022,
https://doi.org/10.1088/0031-8949/2013/T157/014022 . .