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  - 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  - 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  - Lazović, Aleksandar
AU  - Popović Maneski, Lana
AU  - Hadžievski, Ljupčo
PY  - 2019
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10876
AB  - To research the possibility of noninvasive detection of heart failure we developed an acquisition system with multiple sensors. The system synchronously measures cardiovascular pulsations, heart sounds and ECG using different types of sensors positioned only on the patient’s body. The system has a modular structure with five modules: 1. Module for controlling the light source (MWLS) 2. Module for data acquisition from fiber optical sensors (FBGA) with the compact optical spectral analyzer 3. Module for the acquisition of hearth sounds (PCG) with four ports for microphones; 4. Module for the acquisition of standard ECG signals; 5. Module for data acquisition from three accelerometers and three photoplethysmography sensors (ACC/PPG).
PB  - Belgrade : ETRAN
PB  - Belgrade : Academic Mind
C3  - Proceedings of Papers – 6th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2019, Silver Lake, Serbia, June 03 – 06, 2019 / Zbornik radova - 63. Konferencija za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, Srebrno jezero, 03 – 06. juna, 2019. godine
T1  - Multi-sensor acquisition system for noninvasive detection of heart failure
SP  - 235
EP  - 238
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10876
ER  - 

@conference{
author = "Lazović, Aleksandar and Popović Maneski, Lana and Hadžievski, Ljupčo",
year = "2019",
abstract = "To research the possibility of noninvasive detection of heart failure we developed an acquisition system with multiple sensors. The system synchronously measures cardiovascular pulsations, heart sounds and ECG using different types of sensors positioned only on the patient’s body. The system has a modular structure with five modules: 1. Module for controlling the light source (MWLS) 2. Module for data acquisition from fiber optical sensors (FBGA) with the compact optical spectral analyzer 3. Module for the acquisition of hearth sounds (PCG) with four ports for microphones; 4. Module for the acquisition of standard ECG signals; 5. Module for data acquisition from three accelerometers and three photoplethysmography sensors (ACC/PPG).",
publisher = "Belgrade : ETRAN, Belgrade : Academic Mind",
journal = "Proceedings of Papers – 6th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2019, Silver Lake, Serbia, June 03 – 06, 2019 / Zbornik radova - 63. Konferencija za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, Srebrno jezero, 03 – 06. juna, 2019. godine",
title = "Multi-sensor acquisition system for noninvasive detection of heart failure",
pages = "235-238",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10876"
}

Lazović, A., Popović Maneski, L.,& Hadžievski, L.. (2019). Multi-sensor acquisition system for noninvasive detection of heart failure. in Proceedings of Papers – 6th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2019, Silver Lake, Serbia, June 03 – 06, 2019 / Zbornik radova - 63. Konferencija za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, Srebrno jezero, 03 – 06. juna, 2019. godine
Belgrade : ETRAN., 235-238.
https://hdl.handle.net/21.15107/rcub_vinar_10876

Lazović A, Popović Maneski L, Hadžievski L. Multi-sensor acquisition system for noninvasive detection of heart failure. in Proceedings of Papers – 6th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2019, Silver Lake, Serbia, June 03 – 06, 2019 / Zbornik radova - 63. Konferencija za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, Srebrno jezero, 03 – 06. juna, 2019. godine. 2019;:235-238.
https://hdl.handle.net/21.15107/rcub_vinar_10876 .

Lazović, Aleksandar, Popović Maneski, Lana, Hadžievski, Ljupčo, "Multi-sensor acquisition system for noninvasive detection of heart failure" in Proceedings of Papers – 6th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2019, Silver Lake, Serbia, June 03 – 06, 2019 / Zbornik radova - 63. Konferencija za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, Srebrno jezero, 03 – 06. juna, 2019. godine (2019):235-238,
https://hdl.handle.net/21.15107/rcub_vinar_10876 .

TY  - CONF
AU  - Miletić, Marjan
AU  - Ivanović, Marija D.
AU  - Popović Maneski, Lana
AU  - Bojović, Boško
PY  - 2017
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/7565
AB  - Ejection fraction (EF) is the most used parameter for characterisation of Heart Failure (HF) condition. EF is commonly calculated using echocardiography, which is an expensive non–invasive method and not used in primary healthcare. Systolic time intervals (STI) represent a non-invasive and inexpensive method for determination of EF[1, 2]. Heart failure (HF) is the single most expensive diagnosis in medicine. 2–3% of adult population in developed countries have HF diagnosis. It is not detectable by ECG test and it is commonly detected in a late stage, when the process is irreversible [2-5]. In this paper, a multiparametric cardiac measurement system for determination of STI is presented. Measurement system consists of sensors for simultaneous acquisition of electrocardiographic (ECG), phonocardiographic (PCG), photopletysmographic (PPG) and cardiovascular (CV) pulsation signals. CV pulsation signals are measured by long period grating (LPG) fiber-optic sensors[6]. Two non-invasive methods for measuring systolic time intervals (STI) were applied on a set of 6 healthy volunteers, based on ECG, PCG and CV pulsation signals. CV pulsation signals were measured on carotide arthery with PPG and LPG sensors. In the first method, EF was calculated from the obtained STI signals, using CV carotide pulsations measured with the PPG sensor, giving EF values in the range from 0.60 to 0.68, with maximal standard deviation of 0.05. In the second method, EF was obtained using CV carotide pulsations measured with LPG sensor, giving EF values in the range from 0.60 to 0.66, with maximal standard deviation 0.06. Calculated values of EF with both methods were in the 0.55 to 0.75 range which corresponds to normal EF range in healthy individuals.
PB  - Belgrade : Institute of Physics Belgrade
C3  - PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts
T1  - Application of multiparametric cardiac measurement system in ejection fraction calculation
SP  - 112
UR  - https://hdl.handle.net/21.15107/rcub_vinar_7565
ER  - 

@conference{
editor = "Krmpot, Aleksandar J., Lekić, Marina",
author = "Miletić, Marjan and Ivanović, Marija D. and Popović Maneski, Lana and Bojović, Boško",
year = "2017",
abstract = "Ejection fraction (EF) is the most used parameter for characterisation of Heart Failure (HF) condition. EF is commonly calculated using echocardiography, which is an expensive non–invasive method and not used in primary healthcare. Systolic time intervals (STI) represent a non-invasive and inexpensive method for determination of EF[1, 2]. Heart failure (HF) is the single most expensive diagnosis in medicine. 2–3% of adult population in developed countries have HF diagnosis. It is not detectable by ECG test and it is commonly detected in a late stage, when the process is irreversible [2-5]. In this paper, a multiparametric cardiac measurement system for determination of STI is presented. Measurement system consists of sensors for simultaneous acquisition of electrocardiographic (ECG), phonocardiographic (PCG), photopletysmographic (PPG) and cardiovascular (CV) pulsation signals. CV pulsation signals are measured by long period grating (LPG) fiber-optic sensors[6]. Two non-invasive methods for measuring systolic time intervals (STI) were applied on a set of 6 healthy volunteers, based on ECG, PCG and CV pulsation signals. CV pulsation signals were measured on carotide arthery with PPG and LPG sensors. In the first method, EF was calculated from the obtained STI signals, using CV carotide pulsations measured with the PPG sensor, giving EF values in the range from 0.60 to 0.68, with maximal standard deviation of 0.05. In the second method, EF was obtained using CV carotide pulsations measured with LPG sensor, giving EF values in the range from 0.60 to 0.66, with maximal standard deviation 0.06. Calculated values of EF with both methods were in the 0.55 to 0.75 range which corresponds to normal EF range in healthy individuals.",
publisher = "Belgrade : Institute of Physics Belgrade",
journal = "PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts",
title = "Application of multiparametric cardiac measurement system in ejection fraction calculation",
pages = "112",
url = "https://hdl.handle.net/21.15107/rcub_vinar_7565"
}

Krmpot, A. J., Lekić, M., Miletić, M., Ivanović, M. D., Popović Maneski, L.,& Bojović, B.. (2017). Application of multiparametric cardiac measurement system in ejection fraction calculation. in PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts
Belgrade : Institute of Physics Belgrade., 112.
https://hdl.handle.net/21.15107/rcub_vinar_7565

Krmpot AJ, Lekić M, Miletić M, Ivanović MD, Popović Maneski L, Bojović B. Application of multiparametric cardiac measurement system in ejection fraction calculation. in PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts. 2017;:112.
https://hdl.handle.net/21.15107/rcub_vinar_7565 .

Krmpot, Aleksandar J., Lekić, Marina, Miletić, Marjan, Ivanović, Marija D., Popović Maneski, Lana, Bojović, Boško, "Application of multiparametric cardiac measurement system in ejection fraction calculation" in PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts (2017):112,
https://hdl.handle.net/21.15107/rcub_vinar_7565 .