Εμφανίζονται 1 - 10 Αποτελέσματα από 10 για την αναζήτηση '"серцево-судинні події"', χρόνος αναζήτησης: 0,59δλ Περιορισμός αποτελεσμάτων
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    Academic Journal

    Πηγή: Zaporozhye мedical journal; Vol. 24 No. 5 (2022); 613-624
    Запорожский медицинский журнал; Том 24 № 5 (2022); 613-624
    Запорізький медичний журнал; Том 24 № 5 (2022); 613-624

    Περιγραφή αρχείου: application/pdf

    Σύνδεσμος πρόσβασης: http://zmj.zsmu.edu.ua/article/view/266062

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    Academic Journal

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    Dissertation/ Thesis

    Συνεισφορές: Липак, Галина Ігорівна, Гащин, Надія Богданівна, ТНТУ ім. І. Пулюя, Факультет комп’ютерно-інформаційних систем і програмної інженерії, Кафедра комп’ютерних наук, м. Тернопіль, Україна

    Relation: 1 Zewoudie, A.W.; Luque, J.; Hernando, J. The use of long-term features for GMM- and i-vector-based speaker diarization systems. EURASIP Journal on Audio, Speech, and Music Processing 2018, 2018, 14, doi:10.1186/s13636-018-0140-x. 2 Chen, Y.; Wei, S.; Zhang, Y. Classification of heart sounds based on the combination of the modified frequency wavelet transform and convolutional neural network. Medical & Biological Engineering & Computing 2020, 58, 2039-2047, doi:10.1007/s11517-020-02218-5. 3 Rushmer, R.F.; Sparkman, D.R.; Polley, R.F.; Bryan, E.E.; Bruce, R.R.; Welch, G.B.; Bridges, W.C. Variability in detection and interpretation of heart murmurs; a comparison of auscultation and stethography. AMA Am J Dis Child 1952, 83, 740-754, doi:10.1001/archpedi.1952.02040100038003. 4 Duda O., Kunanets N., Matsiuk O., Pasichnyk V., Rzheuskyi A. (2021) Aggregation, Storing, Multidimensional Representation and Processing of COVID-19 Data. In: Shakhovska N., Medykovskyy M.O. (eds) Advances in Intelligent Systems and Computing V. CSIT 2020. Advances in Intelligent Systems and Computing, vol 1293, pp 875-889. Springer, Cham. ISBN978-3-030-63270-0. 5 Duda, O., Kunanets, N., Martsenko, S., Matsiuk, O., Pasichnyk, V., Building secure Urban information systems based on IoT technologies. CEUR Workshop Proceedings 2623, pp. 317-328. 2020. 6 Oleksii Duda, Oleksandr Matsiuk, Nataliia Kunanets, Volodymyr Pasichnyk, Antonii Rzheuskyi and Yuriy Bilak, “Formation of Hypercubes Based on Data Obtained from Systems of IoT Devices of Urban Resource Networks”, International Journal of Sensors, Wireless Communications and Control (2020) 10: 1. ISSN 2210-3287. 7 Castro, A.; Vinhoza, T.T.V.; Mattos, S.S.; Coimbra, M.T.; Ieee. Heart Sound Segmentation of Pediatric Auscultations Using Wavelet Analysis. In 2013 35th Annual International Conference of the Ieee Engineering in Medicine and Biology Society, 2013; pp. 3909-3912. 8 Duda, O., et al, Selection of Effective Methods of Big Data Analytical Processing in Information Systems of Smart Cities. CEUR Workshop Proceedings 2631, pp. 68-78. 2020. 9 Stethee, AI boosted digital stethoscopes. Available online: https://www.stethee.com/. 10 American Heart Association. Cardiovascular Disease and Diabetes. http://www.heart.org/HEARTORG/ Conditions/More/Diabetes/ WhyDiabetesMatters/ Cardiovascular-DisiaseDiabetes_UCM_313865_ Article.jsp. 11 Kozakova M, Polombo C. Diabetes mellitus, arterial wall, and cardiovascular risk assessment. International Journal of Environmental Research and Public Health. 2016;13(2):201-214. 12 WHO. Prevention of cardiovascular disease, guideline for assessment and management of cardiovascular risk 1st edition. Geneva: WHO. 2007. 13 Aini FN, Wicaksana AL, Pangastuti HS. Tingkat risiko kejadian kardiovaskular pada penyandang diabetes tipe 2. Journal of Indonesian National Nurses Association. 2019;4(3):182-192. 14 Klug B. An Overview of the system usability scale in library website and system usability testing. Weave: Journal of Library User Experience. 2017;1. 15 Bangor A, Kortum P, Miller J. Determining what individual SUS scores mean: adding an adjective rating scale. Journal of Usability Studies. 2009;4(3):114-123. 16 Brooke J. SUS: a retrospective. Journal of Usability Studies. 2013;8(2):29-40. 17 Kleyko, D.; Osipov, E.; Wiklund, U. A Comprehensive Study of Complexity and Performance of Automatic Detection of Atrial Fibrillation: Classification of Long ECG Recordings Based on the PhysioNet Computing in Cardiology Challenge 2017. Biomedical Physics & Engineering Express 2020, 6, doi:10.1088/2057-1976/ab6e1e. 18 Android Support from Simulink. Available online: https://www.mathworks.com/hardwaresupport/android-programming-simulink.html. 19 Generate C/C++ code for the object functions. Available online: https://www.mathworks.com/help/stats/savelearnerforcoder.html. 20 Davis, S.M., P; . Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Transactions on Acoustics, Speech, and Signal Processing 4, 11, doi:10.1109/TASSP.1980.1163420. 21 Kucharski, D.; Grochala, D.; Kajor, M.; Kańtoch, E. A Deep Learning Approach for Valve Defect Recognition in Heart Acoustic Signal. Cham; pp. 3-14. 22 Eko Devices, Eko Core Digital Stethoscope. Available online: https://ekodevices.com/. 23 Hannun, A.Y.; Rajpurkar, P.; Haghpanahi, M.; Tison, G.H.; Bourn, C.; Turakhia, M.P.; Ng, A.Y. Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network. Nature Medicine 2019, 25, 65-69, doi:10.1038/s41591-018-0268-3. 24 Matsiuk O. Choice method of analytical information-technology platform for projects associated to the smart city class // Bodnarchuk Ihor, Duda Oleksii, Kharchenko Alexander, Kunanets Nataliia, Matsiuk Oleksandr and Pasichnyk Volodymyr/ ICTERI 2020 ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer Proceedings of the 14th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume I: Main Conference р.317-330. 25 Проблематика громадського здоров’я. http://cgz.vn.ua/problematika-gromadskogo-zdorovya/problematika-gromadskogo-zdorovya_462.html. 26 ГАСІННЯ ПОЖЕЖ В ЕЛЕКТРОУСТАНОВКАХ. https://nais.com.ua/ua/articles/tushenie-pozharov-v-elektroustanovkah/.; Крищишин В. В. Розробка мобільного застосунку для діагностування серцевих захворювань : кваліфікаційна робота освітнього рівня „Бакалавр“ „122 — комп’ютерні науки“ / В. В. Крищишин. — Тернопіль : ТНТУ, 2021. — 40 с.; http://elartu.tntu.edu.ua/handle/lib/35789

    Διαθεσιμότητα: http://elartu.tntu.edu.ua/handle/lib/35789