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)
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 64-71doi.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
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