TY - CHAP A1 - Nechyporenko, Alina A1 - Reshetnik, Viktor A1 - Frohme, Marcus A1 - Alekseeva, Victoriia A1 - Lupyr, Andrii A1 - Gargin, Vitaliy ED - Chumachenko, Dmytro ED - Golland, Polina ED - Yakovlev, Sergiy T1 - Evaluation of Bone Radiodensity in Smokers T2 - Proceedings of the 4th International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2024) 2024, Cambridge, MA, USA, September 25-27, 2024 N2 - One of the most prevalent harmful habits that affect people daily is smoking. The aim of our study was to investigate changes in the bone density of the human paranasal sinuses under the influence of smoking using uncertainty calculation. Material and Methods. The study involved 150 male and female individuals aged 20-40 years, which helps to exclude other factors that could influence the reduction in bone radiodensity (e.g., menopause in women, age-related changes, etc.). The participants were divided into three groups based on the duration of their smoking habits. Results. Smoking has almost no effect on the maximum bone density. All groups show nearly identical values. In the first group, consisting of individuals who smoked for up to 5 years, the maximum density is 75.22 ± 37.61 Hu. In the second group, those who smoked for up to 10 years have a density of 84.22 ± 42.11 Hu, while in the third control group, the density is 74.29 ± 37.15 Hu. On the other hand, smoking has a greater impact on the minimum radiological bone density of the upper wall of the maxillary sinus. The lowest values are found in the group of individuals who smoked for 10 or more years, with a minimum density of 23.86 ± 11.93 Hu. For those who smoked for up to 5 years, the radiological bone density was 52.65 ± 26.32 Hu. In the control group, the density values were slightly higher than those of individuals who smoked for up to 5 years, with the highest values being 58.12 ± 29.06 Hu. Conclusion. The study investigated changes in the bone density of the human paranasal sinuses under the influence of smoking, utilizing uncertainty calculation. It was found that the most sensitive indicator to nicotine exposure is the minimum radiological density, which can significantly increase the risk of developing complications. Specifically, the lowest radiological density was observed in the group of individuals who smoked for 10 years or more, with a value of 23.86 ± 11.93 Hu. KW - bone radiodensity KW - computer tomography KW - paranasal sinus KW - uncertainty Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19616 UR - https://ceur-ws.org/Vol-3777/short8.pdf IS - 3777 SP - 238 EP - 244 ER - TY - CHAP A1 - Strelchuk, Yaroslav A1 - Nechyporenko, Alina A1 - Frohme, Marcus A1 - Gargin, Vitaliy A1 - Lupyr, Andrii A1 - Alekseeva, Victoriia ED - Shakhovska, Nataliya ED - Jiao, Jianbo ED - Izonin, Ivan ED - Chretien, Stephane T1 - Detection of stress using photoplethysmography T2 - Proceedings of the 7th International Conference on Informatics & Data-Driven Medicine (IDDM 2024) N2 - Stress is an important factor affecting human health, and its timely detection can significantly improve quality of life. This study addresses the current issue of identifying stress states using photoplethysmography signals obtained from the wearable Shimmer 3 sensor. The purpose of the study was to establish an effective approach for stress detection, specifically through the analysis of heart rate variability changes during different states: rest and stress. A distinctive feature of the research is the use of the air raid siren sound as a stress factor. The research methodology includes the collection and analysis of biosignals, allowing for the assessment of cardiovascular system functioning under the impact of stress factors. The results of the study demonstrated significant differences in heart rhythm indicators depending on the person's state, highlighting the potential of these metrics as a tool for health monitoring and stress detection. The paper proposes a new approach to using photoplethysmography for assessing stress responses, which may contribute to the development of personalized stress management methods. KW - air raid signal KW - cardiovascular system health KW - early stress detection KW - health monitoring KW - heart rate variability KW - personalized stress management KW - photoplethysmography KW - stress KW - wearable sensors Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19896 UR - https://ceur-ws.org/Vol-3892/short3.pdf VL - 3892 SP - 196 EP - 202 PB - RWTH Aachen ER - TY - CHAP A1 - Nechyporenko, Alina A1 - Frohme, Marcus A1 - Omelchenko, Vladyslav A1 - Alekseeva, Victoriia A1 - Lupyr, Andrii A1 - Gargin, Vitaliy ED - Shakhovska, Nataliya ED - Kovác, Michal ED - Izonin, Ivan ED - Chrétien, Stéphane T1 - Identification of Personality Based on the Sphenoid Sinus Structure Using Machine Learning T2 - Proceedings of the 6th International Conference on Informatics & Data-Driven Medicine, Bratislava, Slovakia, November 17-19, 2023 N2 - The aim of our study is to develop a new, simple, and effective method for identification of personality based on the characteristics of the sphenoid sinus structure, using machine learning for subsequent implementation into routine medical practice in Ukraine. The study involved 200 multislice computed tomography (MSCT) scans of individuals of various genders and ages. During the study, we obtained results with an accuracy exceeding 70%. KW - identification of personality KW - multislice computed tomography KW - deep learning Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0074-3609-1 UR - https://ceur-ws.org/Vol-3609/short2.pdf VL - 3609 SP - 167 EP - 173 PB - CEUR-WS.org ER -