Publications

Patents

• M.Gusev, “Remote ECG monitoring and alerting methods and sensing device”, World Intellectual Property Organization, 12 Oct 2017 (WO2019073288A1)
• M.Gusev, System and method for blood glucose monitoring based on heart rate variability, World Intellectual Property Organization, 30 Dec 2020 (WO2022144570A1)
• M.Gusev, System and method for monitoring of atrial fibrillation, blood glucose and psychophisical condition based on heart rate variability, World Intellectual Property Organization, 30 Dec 2020 (WO2022144571A1)

Journal articles

• M. Gusev, “Scalable Dew Computing”, in Artificial Intelligence and Machine Learning for EDGE Computing, (eds. K. Skala), Appl. Sci. 12(19), 9510; https://doi.org/10.3390/app12199510 2022.
• Sasko Ristov, Thomas Fahringer, Radu Prodan, Magdalena Kostoska, Marjan Gusev, Schahram Dustdar, “Inter-host Orchestration Platform Architecture for Ultra-scale Cloud Applications”, IEEE Internet Computing, (IF 2.341), doi:, vol.25, no.3, pages 23-30. doi.org/10.1109/MIC.2020.3034293, 2021
• L. Poposka, M. Vavlukis, H. Pejkov, M. Gusev, "Comparison of 24-hour ECG-Holter Monitoring with Real-Time Long-Term ECG Monitoring System Using ECGalert software and Savvy Single-Lead Patch,", Open Access Macedonian Journal of Medical Sciences, 9(B) 12-17. doi.org/10.3889/oamjms.2021.4960, 2021
• M. Gusev, “Dew Computing Architecture for Cyber-Physical Systems and IoT”, Journal Internet of Things, vol.11, no.100186, doi.org/10.1016/j.iot.2020.100186, 2020.
• M. Gusev, L. Poposka, G. Spasevski, M. Kostoska, B. Koteska, M. Simjanoska, N. Ackovska, A. Stojmenski, J. Tasic, J. Trontelj, “Non-invasive Glucose Measurement using Machine Learning and Neural Network Methods, and Correlation to Heart Rate Variability”, Journal of Sensors, IF 3.576, Volume 2020, Article ID 9628281, doi:10.1155/2020/9628281, 2020.
• E. Domazet and M. Gusev, “Improving the QRS Detection for One-channel ECG Sensor”, Journal of Technology and Health Care, IF 0.719, ISSN 0928-7329, 1878-7401, 1 1–20 1 doi.org/10.3233/THC-181589, 2019
• M. Gusev, B. Koteska, M. Kostoska, B. Jakimovski, O. Scekic, S. Dustdar, T. Rausch, S. Nastic, S. Ristov, and T. Fahringer, “A Deviceless Edge Computing Approach for Streaming IoT Applications”, IEEE Internet Computing, IF 1.929, ISSN 1089-7801, 1941-0131, vol. 23, no. 1, pp.37-45, doi.org/10.1109/MIC.2019.2892219, 2019
• M. Gusev and S. Dustdar, “Going Back to the Roots – The Evolution of Edge Computing, An IoT Perspective”, IEEE Internet Computing, IF 1.929, Volume 22, Issue 2, pp 5-15, doi.org/10.1109/MIC.2018.022021657, 2018
• S. Nastic; T. Rausch; O. Scekic; S. Dustdar; M. Gusev; B. Koteska; M. Kostoska; B. Jakimovski; S. Ristov; R. Prodan, “A Serverless Real-Time Data Analytics Platform for Edge Computing”, IEEE Internet Computing, IF 1.929, Volume 21, Issue 4, pp 64-71, doi.org/10.1109/MIC.2017.2911430, 2017
• A. Milchevski, and M. Gusev, “Improved pipelined wavelet implementation for filtering ECG signals”, Pattern Recognition Letters, IF 1.995, Elsevier, Volume 95, pp.85-90, doi.org/10.1016/j.patrec.2017.06.005, 2016
• M. Gusev, A. Stojmenski, and I. Chorbev, “Challenges for development of an ECG m-Health solution”, in Journal Emerging Research and Solutions in ICT, vol.1, no.2, pp.25-38, hdl.handle.net/20.500.12188/17454, 2016

Articles in book chapters and conference proceedings

• M. Gusev, S. Ristov, A. Amza, A. Hohenegger, R. Prodan, D. Mileski, P. Gushev, G. Temelkov "CardioHPC: Serverless approaches for real-time heart monitoring of thousands of patients." In 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS), pp. 76-83. IEEE, doi.org/10.1109/WORKS56498.2022.00015, 2022.
• D. Paputchieva, M. Gusev, “Detection of High Noise Levels in Electrocardiograms”, ICT Innovations 2022, Computer Science and Information Systems, (ed. K. Zdravkova and L. Brasnarov), Springer Verlag, Berlin Heidelberg, vol. 1740, pp. 190-204, doi.org/10.1007/978-3-031-22792-9_15, 2023
• S. Tudjarski, A. Stankovski, B. Stojkoska, M. Gusev, “From Continuous ECG Signals to Extracted Features for Machine Learning Models and Arrhythmia Annotations”, Proceedings of the Telfor 2022, IEEE Conference, pp. 1-4, doi.org/10.1109/TELFOR56187.2022.9983663, 2022
• M. Gusev, S. Tudjarski, A. Angjeleska, “Sampling Rate Impact on Heart Rate Variability”, Proceedings of the Telfor 2022, IEEE Conference, pp. 1-4, doi.org/10.1109/TELFOR56187.2022.9983696, 2022
• M. Gusev, L. Tonkovikj, N. Petrovski, “Effect of Bezier Interpolation on Similarity of Heartbeats”, Proceedings of the Telfor 2022, IEEE Conference, pp. 1-4, doi.org/10.1109/TELFOR56187.2022.9983678, 2022
• D. Mileski, M. Gisev, “Serverless Implementations of Real-time Embarrassingly Parallel Problems”, Proceedings of the Telfor 2022, IEEE Conference, pp. 1-4, doi.org/10.1109/TELFOR56187.2022.9983710, 2022
• M. Gusev, “AI Cardiologist at the Edge: A Use Case of a Dew Computing Heart Monitoring Solution”, in Artificial Intelligence and Machine Learning for EDGE Computing, (eds. R. Pandey, S. Khatri, N. Singh, P. Verma), Academic Press, ISBN: 9780128240540, pp.469-477, doi.org/10.1016/B978-0-12-824054-0.00020-4, 2022
• M. Gusev, “A New Solution for Non-Invasive Glucose Measurements Based on Heart Rate Variability”, in Advanced Bioscience and Biosystems for Detection and Management of Diabetes, (eds. Kishor Kumar Sadasivuni, John-John Cabibihan, Abdulaziz Khalid A M Al-Ali, Rayaz A. Malik), Springer, ISBN: 978-3-030-99727-4, ch.4, pp.55-65, doi.org/10.1007/978-3-030-99728-1_4, 2022
• M. Gusev, "Detection of Premature Heartbeats", MIPRO 2022/DSBE, Proceedings of 45th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, pp. 350-355. doi.org/10.23919/MIPRO55190.2022.9803747, 2022
• Stojancho Tudjarski, Aleksandar Stankovski, Marjan Gusev, "Detecting Ventricular Beats with Machine Learning Models", MIPRO 2022/DSBE, Proceedings of 45th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, pp.344-349. doi.org/10.23919/MIPRO55190.2022.9803758, 2022
• V. Bidikov, M. Gusev, V. Markozanov, "Network Traffic Impact on Cloud Usage at Different Providers", MIPRO 2022/DSBE, Proceedings of 45th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, pp.847-852. doi.org/10.23919/MIPRO55190.2022.9803730, 2022
• D. Mileski, M. Gusev, "Serverless FaaS Scalability Evaluation: An ECG Signal Processing Use Case", MIPRO 2022/DSBE, Proceedings of 45th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, pp.853-858. doi.org/10.23919/MIPRO55190.2022.9803568, 2022
• Marija Velickovska, Marjan Gusev, "Comparing AWS Streaming Services: A use case on ECG data streams", MIPRO 2022/DSBE, Proceedings of 45th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, pp.1387-1392. doi.org/10.23919/MIPRO55190.2022.9803359, 2022
• Stojancho Tudjarski, Tomislav Ignjatov, Marjan Gusev, “A New ML-based AFIB Detector”, Proceedings of the Telfor, IEEE Conference, pp.528-531, doi.org/10.1109/TELFOR52709.2021.9653409, 2021
• Damjan Postolovski, Marjan Gusev, “Benchmarking Virtual Machine and Container-based Services for DNN Training”, Proceedings of the Telfor, IEEE Conference, pp.613-616, doi.org/10.1109/TELFOR52709.2021.9653280, 2021
• Stefan Dzalev, Marjan Gusev, “Evaluation of Scalability and Multi-tenancy: A Use-Case”, Proceedings of the Telfor, IEEE Conference, pp.605-608, doi.org/10.1109/TELFOR52709.2021.9653373, 2021
• E. Shaqiri, M. Gusev, L. Poposka, M. Vavlukis, and I. Ahmeti, “Comparing Time and Frequency Domain Heart Rate Variability for Deep Learning-based Glucose Detection”, ICT Innovations 2021, Computer Science and Information Systems, (ed. Lj. Antovski and G. Armenski), Springer Verlag, Berlin Heidelberg, pp.188-197, doi.org/10.1007/978-3-031-04206-5_14, 2021
• G. Temelkov, M. Gusev, “A Method to Detect Ventricular Fibrillation in Electrocardiograms”, MIPRO 2021/DSBE, Proceedings of 44th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, pp. 363-368. doi.org/10.23919/MIPRO52101.2021.9596913, 2021
• I. Vishinov, M. Gusev, L. Poposka, M. Vavlukis, and I. Ahmeti, “Distribution Analysis of Long-Term Heart Rate Variability versus Blood Glucose”, MIPRO 2021/DSBE, Proceedings of 44th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, pp. 357-362. doi.org/10.23919/MIPRO52101.2021.9596643, 2021
• E. Shaqiri, M. Gusev, L. Poposka, M. Vavlukis, and I. Ahmeti, “Developing A Deep Learning Solution to Estimate Instantaneous Glucose Level from Heart Rate Variability”, MIPRO 2021/DSBE, Proceedings of 44th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, pp. 369-374. doi.org/10.23919/MIPRO52101.2021.9597191, 2021
• Dimitar Mileski, Vladimir Zdraveski, Magdalena Kostoska, and Marjan Gusev, “Framework for Real-time Parallel and Distributed Natural Language Processing”, MIPRO 2021/DSBE, Proceedings of 44th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, pp.1076-1081. doi.org/10.23919/MIPRO52101.2021.9596992, 2021
• M. Gusev, “Cloud-Based mHealth Streaming IoT Processing”, in Big Data Platforms and Applications, (eds. F. Pop and G. Neagu), Computer Communications and Networks, Springer, ISBN 978-3-030-38835-5, ISSN 1617-7975, pp.165-180, doi.org/10.1007/978-3-030-38836-2_7, 2021
• M. Gusev, “What makes Dew computing more than Edge computing for Internet of Things”, in IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), ISBN: 978-1-6654-2463-9, 2021, pp.1796-1801 doi.org/10.1109/COMPSAC51774.2021.00269, 2021
• M. Gusev, “Serverless and Deviceless Dew Computing: Founding an Infrastructureless Computing”, in IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), ISBN: 978-1-6654-2463-9, pp.1815-1819 doi.org/10.1109/COMPSAC51774.2021.00273, 2021
• S. Ristov, T. Fahringer, D. Peer, T-P. Pham, M. Gusev, and C. Mas-Machuca. Resilient Techniques against Disruptions of Volatile Cloud Resources. Guide to Disaster-Resilient Communication Networks, (eds. J. Rak and D. Hutchison), Guide Springer, Computer Communications and Networks, chapter 15, pp.327-351, doi.org/10.1007/978-3-030-44685-7_15, 2020
• G. Rizzo, S. Ristov, T. Fahringer, M. Gusev, M. Dzanko, I. Bilic, C. Esposito, and T. Braun. Emergency Networks for Post-disaster Scenarios, Guide to Disaster-Resilient Communication Networks, (eds. J. Rak and D. Hutchison), Guide Springer, Computer Communications and Networks, chapter 11, pp.271-298, doi.org/10.1007/978-3-030-44685-7_11, 2020
• I. Vishinov, M. Gusev, L. Poposka and M. Vavlukis, “Correlating Glucose Regulation with Lipid Profile”, in ICT Innovations 2020, Computer Science and Information Systems, (ed. V. Dimitrova and I. Dimitrovski), Springer Verlag, Berlin Heidelberg, volume CSIS 1316, 978-3-030-62098-1, pp.217-227, doi.org/10.1007/978-3-030-62098-1, 2020
• D. Dojchinovski, M. Gusev, “Selecting an Optimal Training Dataset for Machine Learning based Atrial Fibrillation Detection”, in ICT Innovations 2020, Computer Science and Information Systems, (ed. I. Dimitrovski and V. Dimitrova), web proceedings, hdl.handle.net/20.500.12188/9484, 2020
• E. Shaqiri, , M. Gusev, L. Poposka, M. Vavlukis, “Correlating Heart Rate Variability to Glucose Levels”, in ICT Innovations 2020, Computer Science and Information Systems, (ed. I. Dimitrovski and V. Dimitrova), web proceedings, hdl.handle.net/20.500.12188/9474, 2020
• A. Stojmenski, M. Gusev, L. Poposka, M. Vavlukis, “Heart Rate Variability of 30-minute ECG Measurements and Correlation to Glucose Levels”, Proceedings of the Telfor, IEEE Conference, pp.1-4, doi.org/10.1109/TELFOR51502.2020.9306538, 2020
• I. Vishinov, M. Gusev, L. Poposka, M. Vavlukis, “Correlating Short-Term Heart Rate Variability and Instantaneous Blood Glucose Measurements”, Proceedings of the Telfor, IEEE Conference, pp.1-4, doi.org/10.1109/TELFOR51502.2020.9306517, 2020
• G. Temelkov, A. Spasovska, M. Gusev, “The ECGview Tool for Time and Frequency Domain ECG Visualization and Signal Generation”, Proceedings of the Telfor, IEEE Conference, pp.1-4, doi.org/10.1109/TELFOR51502.2020.9306569, 2020
• E. Ajdaraga Krluku, M. Gusev, “Optimal Filter Length to Identify Uninterpretable Electrocardiograms”, Proceedings of the Telfor, IEEE Conference, pp.1-4, doi.org/10.1109/TELFOR51502.2020.9306632, 2020
• E. Shaqiri, and M. Gusev, “Deep Learning Method to Estimate Glucose Level from Heart Rate Variability”, Proceedings of the Telfor, IEEE Conference, pp.1-4, doi.org/10.1109/TELFOR51502.2020.9306609, 2020
• E. Shaqiri, and M. Gusev, “A Programmatic Approach for Development of the ViewHRV Service Platform with Accurate and Reliable Results”, MIPRO 2020/DSBE, Proceedings of 43rd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, pp. 361-366, doi.org/10.23919/MIPRO48935.2020.9245419, 2020
• E. Ajdaraga, and M. Gusev, “Detection of Uninterpretable ECG Signal Segments”, MIPRO 2020/DSBE Proceedings of 43rd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, pp. 355-360, doi.org/10.23919/MIPRO48935.2020.9245427, 2020
• M. Gusev, L. Poposka, E. Guseva, M. Kostoska, B. Koteska, M. Simjanoska, N. Ackovska and A. Stojmenski “Trends from Minimally Invasive to Non-invasive Glucose Measurements”, MIPRO 2020/DSBE, Proceedings of 43rd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, pp.333-338, doi.org/10.23919/MIPRO48935.2020.9245402, 2020
• M. Gusev, E. Guseva, and L. Poposka “Design of a Non-invasive ECG-Based Glucose Measurement”, MIPRO 2020/DSBE, Proceedings of 43rd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, pp.321-326, doi.org/10.23919/MIPRO48935.2020.9245403, 2020
• M. Gusev, “Impact of Dew Computing on Cyber-Physical Systems and IoT”, MIPRO 2020, Proceedings of 43rd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, pp. 2253-2257, doi.org/10.23919/MIPRO48935.2020.9245267, 2020
• I. Vishinov, M. Gusev, L. Poposka, M. Vavlukis, “Correlating the Cholesterol Levels to Glucose for Men and Women”, Proceedings of CiiT 2020, Skopje, Macedonia, paper 43, hdl.handle.net/20.500.12188/8274, 2020
• D. Dojchinovski, M. Gusev, “Segment Labeling Method for ML-based AFIB Detection”, Proceedings of CiiT 2020, Skopje, Macedonia, paper 40, hdl.handle.net/20.500.12188/8273, 2020
• M. Gusev, “Dew Computing Architecture for Cyber-Physical Systems and IoT”, Dew Computing workshop Proceedings, DEWCOM, pp.1-7, doi.org/10.1016/j.iot.2020.100186, 2019
• E. Ajdaraga Krluku, M. Gusev and V. Zdraveski, “Bi-Source Verification Against Silent Data Corruption in High Performance Computing”, BCI 2019, Proceedings of 9th Balkan Conf. in Informatics, Sofia, Bulgaria, ACM International Conference Proceedings, 2019, art.no.30, doi.org/10.1145/3351556.3351567, 2019
• A. Ilievski, D. Dojchinovski and M. Gusev, “Interactive Voice Assisted Home Healthcare Systems”, BCI 2019, Proceedings of 9th Balkan Conf. in Informatics, Sofia, Bulgaria, ACM International Conference Proceedings, 2019, art.no.19, doi.org/10.1145/3351556.3351572, 2019
• D. Dojchinovski, A. Ilievski, and M. Gusev. "Interactive home healthcare system with integrated voice assistant" MIPRO 2019, Proceedings of 42nd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, pp.284-288, doi.org/10.23919/MIPRO.2019.8756983, 2019
• E. Ajdaraga, M. Gusev, L. Poposka, “Evaluation of User Satisfaction with the ECGalert System”, MIPRO 2019, Proceedings of 42nd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, pp.355-360, doi.org/10.23919/MIPRO.2019.8756722, 2019
• M. Gusev, M. Boshkovska, “Performance Evaluation of Atrial Fibrilation Detection”, MIPRO 2019, Proceedings of 42nd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, pp.355-360, doi.org/10.23919/MIPRO.2019.8757193, 2019
• E. Ajdaraga, M. Gusev, “Analysis of a Differential Noise Detection Filter in ECG Signals”, MIPRO 2019, Proceedings of 42nd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, pp.314-319, doi.org/10.23919/MIPRO.2019.8756676, 2019
• M. Boshkoska, M. Gusev, V. Zdravevski, “Parallel implementation of an algorithm for Atrial Fibrillation detection using RR intervals and Shannon entropy”, Proceedings of the Telfor 2018, IEEE Conference, pp.1-4, doi.org/10.1109/TELFOR.2018.8612044, 2018
• A. Ilievski, V. Zdravevski, M. Gusev, “How CUDA powers the Machine Learning revolution”, Proceedings of the Telfor 2018, IEEE Conference, pp.420-425, doi.org/10.1109/TELFOR.2018.8611982, 2018
• M. Gusev, “Edge and Dew computing for streaming IoT”, Proceedings of 3rd Int. Workshop on Dew Computing, DEWCOM, Toronto, pp.1-7. http://www.dewcomputing.org/publications/IoT.pdf, 2018
• M. Gusev, and E. Domazet, “Optimizing the Impact of Resampling on QRS detection”, in ICT Innovations 2018, Computer Science and Information Systems, (ed. S. Kalajdziski and N. Ackovska), Springer Verlag, Berlin Heidelberg, volume CSIS 940, ISBN 978-3-030-00825-3, pp.107-119, doi.org/10.1007/978-3-030-00825-3_10, 2018
• E. Domazet, and M. Gusev, “Amplitude rescaling influence on QRS detection”, in ICT Innovations 2018, Computer Science and Information Systems, (ed. S. Kalajdziski and N. Ackovska), Springer Verlag, Berlin Heidelberg, volume CSIS 940, pp.259-272. doi.org/10.1007/978-3-030-00825-3_22, 2018
• M. Gusev and E. Domazet, “Optimal DSP Bandpass Filtering for QRS detection”, in MIPRO, Proceedings of 41th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, pp.327-332, doi.org/10.23919/MIPRO.2018.8400058, 2018
• D. Stamenov, D. Venov, M. Gusev, “Scalability Performance Evaluation of the E-Ambulance Software Service”, in MIPRO, Proceedings of 41th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, pp.348-353, doi.org/10.23919/MIPRO.2018.8400062, 2018
• D. Stamenov, M. Gusev and G. Armenski, “Interoperability of ECG standards”, in MIPRO 2018, Proceedings of 41th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, pp.343-347, doi.org/10.23919/MIPRO.2018.8400061, 2018
• E. Ajdaraga and M. Gusev, “Analysis of Sampling Frequency and Resolution in ECG Signals”, Proceedings of the Telfor, IEEE Conference, pp.685-688, doi.org/10.1109/TELFOR.2017.8249438, 2017
• E. Domazet, M. Gusev, and L. Antovski, “Design Specification of an ECG Mobile Application”, Proceedings of the Telfor, IEEE Conference, 2017, pp.709-712, doi.org/10.1109/TELFOR.2017.8249444, 2018
• M. Gusev, L. Poposka, E. Guseva, “Applicability of the ECGalert solution”, Proceedings of the Telfor, IEEE Conference, pp.681-684, doi.org/10.1109/TELFOR.2017.8249437, 2017
• M. Gusev, A. Ristovski, and A. Guseva, “Pattern Recognition of a Digital ECG”, in ICT Innovations 2016, Advances in Intelligent and Soft Computing, (ed. A. Kulakov and G. Stojanov), Springer Verlag, Berlin Heidelberg, volume AISC, pp.93-102, doi.org/10.1007/978-3-319-68855-8_9, 2016
• A. Milchevski, and M. Gusev, “Performance evaluation of FIR and IIR filtering of ECG signals”, in ICT Innovations 2016, Advances in Intelligent and Soft Computing, (ed. A. Kulakov and G. Stojanov), Springer Verlag, Berlin Heidelberg, 2016, volume AISC, pp.103-112, doi.org/10.1007/978-3-319-68855-8_10, 2016
• M. Gusev, S. Patel, J. Tasic, “Stimulating Intellectual Activity with Adaptive Environment (SMILE)”, BCI 2017, Proceedings of 8th Balkan Conf. in Informatics, Skopje, Macedonia, ACM International Conference Proceedings, pp.18.1-18.4, doi.org/10.1145/3136273.3136283, 2017
• E. Domazet, M. Gusev, Lj. Antovski, “A Time-Critical Mobile Application based on ECG Medical Monitoring”, BCI 2017, Proceedings of 8th Balkan Conf. in Informatics, Skopje, Macedonia, ACM International Conference Proceedings, pp.3.1-3.4., doi.org/10.1145/3136273.3136281, 2017
• M. Gusev, A. Stojmenski, and A. Guseva, “ECGalert: A Heart Attack Alerting System”, in ICT Innovations 2017, Computer Science and Information Systems, (ed. D. Trajanov and V. Bakeva), Springer Verlag, Berlin Heidelberg, volume CSIS, pp.27-36, doi.org/10.1007/978-3-319-67597-8_3, 2017
• M. Gusev, A. Guseva, “State-Of-The-Art of Cloud Solutions Based on ECG Sensors”, Proceedings of the IEEE EuroCon 2017, pp.501-506, doi.org/10.1109/EUROCON.2017.8011162, 2017
• M. Gusev, “A Dew Computing Solution for IoT Streaming Devices”, in MIPRO 2017, Proceedings of 40h Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, pp.415-420, doi.org/10.23919/MIPRO.2017.7973454, 2017
• A. Ristovski, M. Gusev, “SaaS Solution for ECG Monitoring Expert System”, in MIPRO 2017, Proceedings of 40h Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, pp.327-332, doi.org/10.23919/MIPRO.2017.7973440, 2017
• E. Domazet, and M. Gusev, “Parallelization of Digital Wavelet Transformation of ECG Signals”, in MIPRO 2017, Proceedings of 40h Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, pp.337-342, doi.org/10.23919/MIPRO.2017.7973442, 2017
• Gusev, Marjan, Sasko Ristov, Radu Prodan, Matija Dzanko, and Ivana Bilic. "Resilient IoT eHealth solutions in case of disasters." In 2017 9th International Workshop on Resilient Networks Design and Modeling (RNDM), IEEE conference, pp. 1-7. doi.org/10.1109/RNDM.2017.8093024 , 2017.
• Domazet, Ervin, and Marjan Gusev. "Optimal Parallel Wavelet ECG Signal Processing." Proceedings of CiiT conference, pp. 97-102. Optimal Parallel Wavelet ECG Signal Processing , 2017.
• E. Domazet, M. Gusev and S. Ristov, “Optimizing High-Performance CUDA DSP Filter for ECG signals”, Proceedings of 27th DAAAM International Symposium, Annals of DAAAM & Proceedings, Vol. 27, pp.623-632, doi.org/10.2507/27th.daaam.proceedings.091, 2016
• M. Gusev, A. Ristovski and A. Guseva, “Distribution of Premature Heartbeats”, Proceedings of the Telfor, IEEE Conference, pp.407-410, doi.org/10.1109/TELFOR.2016.7818808, 2016
• J. Tasic, M. Gusev, S. Ristov, “A Medical Cloud”, in MIPRO, Proceedings of 39th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, pp.425-430, doi.org/10.1109/MIPRO.2016.7522176, 2016
• A. Ristovski, A. Guseva, M. Gusev, S. Ristov, “Visualization in the ECG QRS Detection Algorithms”, in MIPRO, Proceedings of 39th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, pp.218-223, doi.org/10.1109/MIPRO.2016.7522138, 2016
• E. Domazet, M. Gusev, and S. Ristov, “CUDA DSP filter for ECG signals”, in Proceedings of the Int. Conf. on Applied Internet and Information Technologies, (Editors Mitrevski) AiiT, Bitola, Macedonia, pp.280-288. doi.org/10.20544/AIIT2016.35, 2016
• A. Stojmenski, M. Gusev, and I. Chorbev, “A mobile application for ECG detection and feature extraction”, in Proceedings of the Int. Conf. on Applied Internet and Information Technologies, (Editors Mitrevski) AiiT, Bitola, Macedonia, http://www.aiitconference.org/, pp.299-306. doi.org/10.20544/AIIT2016.37, 2016
• E. Domazet, M. Gusev, and S. Ristov, “Dataflow DSP Filter for ECG Signals”, in Proceedings of the 13th Conf on Informatics and Information Technologies, (Editors Kostoska, Mirchev, Gramatikovski) CiiT 2016, Bitola, Macedonia, http://ciit.finki.ukim.mk/, 2016