Faculty of Computer Science and Engineering

Permanent URI for this communityhttps://repository.ukim.mk/handle/20.500.12188/5

The Faculty of Computer Science and Engineering (FCSE) within UKIM is the largest and most prestigious faculty in the field of computer science and technologies in Macedonia, and among the largest faculties in that field in the region. The FCSE teaching staff consists of 50 professors and 30 associates. These include many “best in field” personnel, such as the most referenced scientists in Macedonia and the most influential professors in the ICT industry in the Republic of Macedonia.

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Author: search.filters.author.Lehocki, FedorLanguage: search.filters.language.English

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    CRITICAL OXYGEN SATURATION-LEVEL ESTIMATION FROM PHOTOPLETHYSMOGRAM (PPG): A PRISMA-COMPLIANT SYSTEMATIC REVIEW AND META-ANALYSIS
    (World Scientific, 2024-10-04)
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    Madevska Bogdanova, Ana
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    Sidorenko, Marija
    Objectives: Photoplethysmogram (PPG) signals have become a crucial tool in the non-invasive monitoring of oxygen saturation levels (SpO2). The main purpose of the present review is to perform a meta-analysis of the involvement and consideration of critical SpO2 levels (<90%) in the research papers where SpO2 levels are calculated/predicted from PPG and to elaborate on the impact of the critical levels when presenting the evaluation results. Data sources: PubMed, Science Direct, and Scopus were searched for papers published between January 1, 2016, and September 10, 2022. Results: This study produced several results, concerning the main objective as well as other important issues for improving the SpO2 estimation/calculation. We discovered that only 21 out of 75 papers considered SpO2 values that are in the critical domain. Many papers do not provide access to their databases or disclose the software/models used. Additionally, some studies lack sufficient testing subjects and fail to make their results reproducible. The findings reveal a preference for SpO2 calculation over prediction, limited data availability, undisclosed methodologies, and diverse evaluation metrics hinder replication and direct comparisons between studies. Also, a scoring table is offered that scores higher the papers that are more valuable for SpO2 calculation/prediction.Conclusion: Employing PRISMA guidelines, a comprehensive search across PubMed, Science Direct, and Scopus databases initially extracted 6173 potential papers. Following rigorous screening, 75 papers were selected for detailed analysis, of which only 21 included data from critical SpO2 levels. Furthermore, this research provided information for the filtered 21 paper about the sample size of the study participants, the models utilized to derive the results, the availability of databases, the specific devices employed in the research, the methodologies employed for PPG signal measurement, and the collaborative efforts among authors from different institutions. This information is sublimed in the scoring table which gives higher scoring to those papers that are more valuable for SpO2 calculation/prediction. This study offers references to all these findings that can be used as concrete guidelines for prospective researchers and developers of new sensors for SpO2 estimation/calculation utilizing PPG signals.
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    SmartPatch for Victims Management in Emergency Telemedicine
    (IEEE, 2021-05-17)
    Lehocki, Fedor
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    Madevska Bogdanova, Ana
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    Tysler, Milan
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    Ondrusova, Beata
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    Wearable real-time systems collecting and smartly analyzing information about patient health status could help medical personnel adopting the most suitable countermeasures in case of highly stressful situations in military and civil scenarios. Such situations include terrorist attacks or rescue operations. We propose the design and development of a patch-like device prototype (SmartPatch) and a methodology enabling continuous evaluation of victims' vital parameters. Using this innovative platform after the first triage, the onsite emergency teams will have continuous information about the health status of each person wearing the SmartPatch. If the health status of a victim is changed, SmartPatch is able to generate an alert and prevent overlook of critical health changes causing potential severe life-threatening consequences or death.
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    Evaluation of Python HeartPy Tooklit for Heart Rate extraction from PPG
    (2021)
    Mitrova, Hristina
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    Madevska Bogdanova, Ana
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    Lehocki, Fedor
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    Ondursova, Beata
    Handling the mass casualty emergency situations can be improved by introducing a chest patch sensor that is able to deliver the main vital parameters: Heart Rate (HR), Respiration Rate (RR), SPO2 and Blood Pressure. The START triage procedure requires both HR and RR parameters almost instantly. In this paper we investigate the calculation of HR from a raw PPG signal, using appropriate functions from the Python HeartPy Tooklit, by comparing the calculated HR to the measured HR for the same patients, recorded at the same time as the PPG signal. By using several evaluation metrics, it was concluded that there is no significant difference between the measured and the calculated HR (MAE = 0,3, MSE=0,3, R2 =0,99, Pearson's and the Spearman's coefficient of correlation, 0.99). This result is the same whether raw or filtered PPG signal was used for the HR calculation.