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 - Reshetnik, Viktor A1 - Alekseeva, Victoriia A1 - Devos, Anastasiia A1 - Nazaryan, Rosana A1 - Gargin, Vitaliy A1 - Nechyporenko, Alina ED - Chumachenko, Dmytro ED - Kaur, Jasleen ED - Yakovlev, Sergiy ED - Morita, Plinio P. T1 - Implementation of the Uncertainty Calculation for the Detection of Negative Effect of Smoking on the Bone Density of Paranasal Sinuses T2 - Proceedings of the 3rd International Workshop of IT-professionals on Artificial Intelligence, ProfIT AI 2023, Waterloo, Canada, November 20-22, 2023 N2 - The aim was to implement uncertainty calculation for detecting the negative effects of smoking on the bone density of the paranasal sinus. Materials and Methods: A total of 100 male participants aged 20 to 44 were included in the study and divided into two groups. The first group comprised individuals with minimal harmful habits, while the second group consisted of individuals who had been smoking for at least 10 years, consuming 1 to 2 packs of cigarettes per day. Results Bone density has a negative impact on the bone tissue of the upper wall of the maxillary sinus. The findings suggest that individuals with a pronounced decrease in minimum density, as well as those with a marked difference between minimum and maximum density values, may require heightened medical attention due to potential associations with undiagnosed diseases or specific structural characteristics in the skull. Conclusions. The uncertainty calculation was implemented for the detection of negative effect of smoking on the bone density of paranasal sinuses. The calculated difference between maximum and minimum density during the research suggests significant medical implications, especially considering the heterogeneity of the trabecular bone structure in the skull. Individuals with a marked difference may require heightened medical attention, potentially associated with undiagnosed diseases or specific structural characteristics in the skull. KW - bone density KW - multispiral computer tomography KW - uncertainty KW - paranasal sinus KW - smoking Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19140 UR - https://ceur-ws.org/Vol-3641/short9.pdf IS - 3641 SP - 276 EP - 283 ER - TY - CHAP A1 - Nechyporenko, Alina A1 - Hubarenko, Yevhen A1 - Hubarenko, Maryna A1 - Kalnytska, Violeta A1 - Alekseeva, Victoriia A1 - Gargin, Vitaliy ED - Shakhovska, Nataliya ED - Chrétien, Stéphane ED - Izonin, Ivan ED - Campos, Jaime T1 - Automatic Creation of Masks for Marking Histological Images of the Epithelium of the Paranasal Sinuses T2 - Proceedings of the 5th International Conference on Informatics & Data-Driven Medicine, Lyon, France, November 18 - 20, 2022 N2 - The article discusses the approach to solving the problem of reducing time spent on the preparation of medical images for teaching neural networks, by reducing the time of creating masks for images. The task is considered on the example of processing images of the mucous membrane of the paranasal sinus. The specifics of the task did not allow effectively using existing software solutions. During the study, a software solution was proposed, which made it possible to radically reduce the time of creating masks for images. The article also analyzes the shortcomings of the automated creation of masks, as well as the directions of their solution. The loss of time due to the adjustment of the color palette can be reduced even more to 1-2 minutes, the average deviation is 7.61%. KW - neural network KW - mask KW - microscopic image KW - epithelium KW - inflammatory change Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19024 UR - https://ceur-ws.org/Vol-3302/paper6.pdf VL - 3302 SP - 108 EP - 119 PB - RWTH Aachen ER - TY - CHAP A1 - Nechyporenko, Alina A1 - Reshetnik, Viktor A1 - Dzyza, Alla A1 - Alekseeva, Victoriia A1 - Lupyr, Andrii A1 - Gargin, Vitaliy ED - Shakhovska, Nataliya ED - Kovác, Michal ED - Izonin, Ivan ED - Chrétien, Stéphane T1 - The Peculiarities of Measuring Bone Density in Males and Females Using Uncertainty Calculation T2 - Proceedings of the 6th International Conference on Informatics & Data-Driven Medicine, Bratislava, Slovakia, November 17-19, 2023 N2 - The article discusses the approach to solving the problem of reducing time spent on the preparation of medical images for teaching neural networks, by reducing the time of creating masks for images. The task is considered on the example of processing images of the mucous membrane of the paranasal sinus. The specifics of the task did not allow effectively using existing software solutions. During the study, a software solution was proposed, which made it possible to radically reduce the time of creating masks for images. The article also analyzes the shortcomings of the automated creation of masks, as well as the directions of their solution. The loss of time due to the adjustment of the color palette can be reduced even more to 1-2 minutes, the average deviation is 7.61%. KW - bone density KW - multispiral computer tomography KW - uncertainty Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19116 UR - https://ceur-ws.org/Vol-3609/short6.pdf VL - 3609 SP - 249 EP - 254 PB - RWTH Aachen ER - TY - CHAP A1 - Nechyporenko, Alina A1 - Reshetnik, Viktor A1 - Shyian, Denys A1 - Alekseeva, Victoriia A1 - Radutny, Radiy A1 - Gargin, Vitaliy ED - Shakhovska, Nataliya ED - Campos, Jaime ED - Melnykova, Nataliia ED - Izonin, Ivan T1 - Solutions to the 3D Model Problem of Pressure Measurement in the Area of Maxillary Sinus Anastomosis T2 - Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine N2 - The ostiomeatal complex (OMC) is a key area that determines the occurrence of inflammatory processes in the paranasal sinuses (PNSs). The aim of our work was to develop a procedure for studying the OMC components in the preoperative period that allows for identification the impact of anatomical peculiarities on change of physiological pressure in the maxillary sinus. Materials and methods: The study was carried out on the basis of the otorhinolaryngological department of Kharkiv Regional Clinical Hospital in 2019-2020. It involved 100 patients of both sexes aged 20-59 years with chronic non-polyposis maxillary sinusitis. Results: The sizes of the uncinate process, the middle turbinate and the natural anastomosis were determined using the calculation of uncertainty. Basing on the data obtained, all the patients were divided into three groups. Conclusions: Changes in the size of the natural anastomosis (both an increase and its narrowing) lead to changes in pressure in the area of the anastomosis, and a decrease in ventilation in the paranasal sinuses. SCT study with subsequent 3D modeling is an informative, accurate and effective method for assessment of OMC and PNSs condition. It allows surgeons to presume the method and volume of surgery as early as at the preoperative stage, without resorting to invasive research methods. KW - ostiomeatal comlex KW - pressure KW - 3D model Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19007 UR - https://ceur-ws.org/Vol-2753/paper20.pdf SP - 275 EP - 284 PB - RWTH Aachen 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 - Radutny, Radiy A1 - Nechyporenko, Alina A1 - Alekseeva, Victoriia A1 - Yurevych, Nadiia A1 - Lupyr, Andrii A1 - Gargin, Vitaliy ED - Shakhovska, Nataliya ED - Salazar, Addisson ED - Izonin, Ivan ED - Campos, Jaime T1 - Complex Automatic Evaluation of the Medical Images of the Paranasal Sinuses T2 - Proceedings of the 4th International Conference on Informatics & Data-Driven Medicine, Valencia, Spain, November 19 - 21, 2021 N2 - Evaluation of medical images is of key importance in the work of medical staff today. Especially this problem pays important role in otolaryngology. The aim of our work was to develop an automatic complex method for assessing the state of the human paranasal sinuses. Our research included 10 people of different sex and age, who were divided into groups, taking into account the recommendations of the WHO for 2019-2021. The structure of the mucous membrane of the maxillary sinus were calculated and compared. In the course of our research, an algorithm was developed for the automatic assessment of the state of the mucous membrane of the maxillary sinus and its bone walls according to the data of the spiral computed tomography. The difference between obtained data in the manual and automatic mode is minimal. KW - automated measurement KW - computed tomography KW - maxillary sinus KW - bone thickness KW - bone density Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19010 UR - https://ceur-ws.org/Vol-3038/short7.pdf SP - 182 EP - 189 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 -