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Leonid Fainzilberg

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Leonid Fainzilberg
FotoФайнзильберг FotoФайнзильберг
Born5 January 1949
Kiev
🎓 Alma materIgor Sikorsky Kyiv Polytechnic Institute
💼 Occupation
Known forInventor
🏅 AwardsDiploma of the Verkhovna Rada of Ukraine
🌐 Websitefainzilberg.irtc.org.ua

Leonid Solomonovich Fainzilberg (January 5 1949, Kiev) — is a Ukrainian scientist, inventor, doctor of technical sciences, professor.

Chief researcher of the International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences (NAS) of Ukraine and Ministry of Education and Science (MES) of Ukraine]. [1]

Professor of the Department of Biomedical Cybernetics of the Faculty of Biomedical Engineering of the National Technical University of Ukraine " Igor Sikorsky Kyiv Polytechnic Institute"

Biography[edit]

He was born on January 5, 1949 in Kiev.

In 1972 he graduated from the Kiev Polytechnic Institute with a degree in Automation of Heat and Power Engineering Processes.

Scientific activity[edit]

In 1982 he defended his Candidates Thesis Fainzilberg 1982, p. 24, in 2004 – his Doctoral Thesis Fainzilberg 2004, p. 403. Senior Researcher (1991), Associate Professor (2002), Professor (2018).

Main Research Areas:

  • automation of technological parameters monitoring,
  • intellectual information technologies,
  • methods and means of processing complex signals.

Member of scientific council of the Ukrainian Association for «Computer Medicine»[2]. He is the author of more than 300 scientific works, including 7 monographs [3] and 50 inventions. He has patents of the USA, England, Germany, Japan and other countries.

Developed a digital analyzer «Carbon» for the operational control in digital form of the carbon content in liquid steel by the temperature of the crystallization point.

He developed a method for processing signals in the so-called phase space, which allows simultaneously to evaluate both the amplitude and speed parameters of cardiac signal elements and with high accuracy evaluate the shape of the electrocardiogram. The method allows to determine the signs of even the most insignificant pathological changes in the heart, which, with the traditional signal processing method, are invisible [4]

The method is implemented in the system "Fazagraf" and in the mobile version (smartphone, tablet).

Awards[edit]

References[edit]

  • Fainzilberg, Leonid. Questions of statistical recognition and their application to the task of signal processing in thermographic analysis : Thesis abstract of the candidate of technical sciences. – Kiev, 1982. – 24 p. (in Russian). Search this book on
  • Fainzilberg, Leonid. Methods and tools for assessing the state of objects by signals with locally concentrated features : Doctoral Thesis – Kiev, 2004. – 403 p. (in Russian). Search this book on
  • Zhukovskaya, Olga; Fainzilberg, Leonid. Mathematical models of collective solutions. – Kyiv: Osvita Ukrainy, 2018. – 160 p. – ISBN 978-617-7625-08-6. (in Ukrainian). Search this book on
  • Fainzilberg, Leonid. Fasegraphy basics. – Kyiv: Osvita Ukrainy, 2017. – 264 p. – ISBN 978-617-7480-31-9 (in Russian). Search this book on
  • Fainzilberg, Leonid; Zhukovskaya, Olga; Iakymchuk, Victoriia. Decision Making Theory: a textbook for students of a specialty "Computer Science and Information Technology", specialization "Information Technology in Biology and Medicine". – Kyiv : Osvita Ukrainy, 2018. – 246 p. – ISBN 978-617-7480-99-9. (in Russian). Search this book on
  • Fainzilberg, Leonid. Computer diagnostics by phase portrait of electrocardiogram. – Kiev: Osvita Ukrainy, 2013. – 191 p. – ISBN 978-966-188-336-8 (in Russian). Search this book on
  • Fainzilberg, Leonid. Mathematical methods for evaluating the usefulness of diagnostic features. – Kiev : Osvita Ukrainy, 2010. – 152 p. – ISBN 978-966-188-134-0 (in Russian). Search this book on
  • Fainzilberg, Leonid. Information technology for signal processing of complex shape. Theory and practice. – Kiev: Nauk. Dumka, 2008. – 334 p. – ISBN 978-966-00-0805-2 (in Russian). Search this book on
  • Сhaikovsky, Illia; Fainzilberg, Leonid. Medical aspects of application of the FAZAGRAF device in clinical practice and under home conditions. – Kiev, 2009. – 74 p. – ISBN 978-966-02-5004-8. (in Ukrainian). Search this book on
  • Fainzilberg, Leonid; Bekler, Tatiana (2012). "T-Wave Alternats Modeling on Artificial Electrocardiogram with Internal and External Perturbation". Journal of Automation and Information Sciences. 44 (7): 1–14. doi:10.1615/JAutomatInfScien.v44.i7.10. ISSN 1064-2315.
  • Fainzilberg, Leonid (2015). "Generalized Method of Processing Cyclic Signals of Complex Form in Multidimensional Space of Parameters". Journal of Automation and Information Sciences. 47 (3): 24–39. doi:10.1615/JAutomatInfScien.v47.i3.30. ISSN 1064-2315.
  • Fainzilberg, L.; Bekler, T.; Glushauskene, G.A. (2011). "Mathematical Model for Generation of Artificial Electrocardiogram with Given Amplitude-Time Characteristics of Informative Fragments". Journal of Automation and Information Sciences. 43 (9): 20–33. doi:10.1615/JAutomatInfScien.v43.i9.20. ISSN 1064-2315.
  • Baum, O.V.; Chaikovsky, I.A.; Popov, L.A.; Voloshin, V.I.; Fainzilberg, L.; Budnik, M.M. (2010). "Electrocardiographic Image of Myocardial Ischemia: Real measurements and Biophysical Models". Biophysics. 55 (5): 812–821. doi:10.1134/S0006350910050234. ISSN 0006-3509. PMID 21033363. Unknown parameter |s2cid= ignored (help)
  • Fainzilberg, L.; Glushauskene, G.A. (2009). "Narrow-band Rejection Filter for Suppression of Harmonic Concentrated Interference on the Basis of Discrete Fourier Transform". Journal of Automation and Information Sciences. 41 (8): 55–70. doi:10.1615/JAutomatInfScien.v41.i8.60. ISSN 1064-2315.
  • Fainzilberg, L.; Chaikovsky, I.A.; Auth-Eisernitz, S.; Awolin, B.; Ivaschenko, D.; Hailer, B. (June 2007). "Sensitivity and specificity of magnetocardiography, using computerized classification on current density vectors maps, in ischemic patients with normal ECG and echocardiogram". New Frontiers in Biomagnetism. International Congress Series. 1300: 468–471. doi:10.1016/j.ics.2007.01.042. ISSN 0531-5131.
  • Fainzilberg, Leonid (2004). "Diagnostics of Object State by Phase Trajectories of Observed Signals with Locally Concentrated Features". Journal of Automation and Information Sciences. 36 (3): 46–55. doi:10.1615/JAutomatInfScien.v36.i3.50. ISSN 1064-2315.
  • Fainzilberg, Leonid (2003). "Restoration of a Standard Sample of Cyclic Waveforms with the Use of the Hausdorff Metric in a Phase Space". Cybernetics and Systems Analysis. 39 (5): 338–344. doi:10.1023/A:1025749208571. ISSN 1060-0396. Unknown parameter |s2cid= ignored (help)
  • Fainzilberg, Leonid (1996). "Why relevant features may be unuseful in statistical recognition of two classes". Why Relevant Features may be Unusefull in Statistical Recognition of Two Classes. Proceeding of the 13 Th International Conference on Pattern Recognition (ICPR'96). pp. 730–734. doi:10.1109/ICPR.1996.546919. ISBN 978-0-8186-7282-8. ISSN 1051-4651. Unknown parameter |s2cid= ignored (help) Search this book on

External links[edit]

Independent links[edit]

  • Plesnik, Emil; Milenković, Jana; Malgina, Olga; Zajc, Matej; Tasič, Jurij F. (2010). "Določanje značilk in klasifikacija signalov EKG na osnovi zaznavanja točk R v faznem prostoru". Mednarodna Elektrotehniška in Računalniška Konferenca. 19: 323–326. ISSN 1581-4572. OCLC 781053464.
  • US 5043905A, Arno Louvo & Veijo Rauta, "Automatic method for controlling a process melt of two-phase cast brass", published 1991-08-27, issued 1989-06-07, assigned to Valtion Teknillinen Tutkimuskeskus 
  • Egorouchkina, K.; Braecklein, M.; Pang, L.; Tchoudovski, I.; Kellermann, W.; Bolz, A. (2005). Comparison of two different methods for coherent averaging in online ECG analysis. Computers in Cardiology. pp. 463–466. CiteSeerX 10.1.1.641.9343. doi:10.1109/CIC.2005.1588137. ISBN 978-0-7803-9337-0. Unknown parameter |s2cid= ignored (help) Search this book on
  • Malgina, Olga; Milenkovic, Jana; Plesnik, Emil; Zajc, Matej; Tasic, Jurij F. (2011). ECG signal feature extraction and classification based on R peaks detection in the phase space. IEEE GCC Conference and Exhibition (GCC). pp. 381–384. doi:10.1109/IEEEGCC.2011.5752545. ISBN 978-1-61284-118-2. Unknown parameter |s2cid= ignored (help) Search this book on
  • Yerokhin, A.; Turuta, O.; Babii, A.; Nechyporenko, A.; Mahdalina, I. (2016). Usage of phase space diagram to finding significant features of rhinomanometric signals. XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT). pp. 70–72. doi:10.1109/STC-CSIT.2016.7589871. ISBN 978-1-5090-2740-8. Unknown parameter |s2cid= ignored (help) Search this book on
  • Zhao, C.; et al. (2018). "An Integrated Maximum Current Density Approach for Noninvasive Detection of Myocardial Infarction". IEEE Journal of Biomedical and Health Informatics. 22 (2): 495–502. doi:10.1109/JBHI.2017.2649570. PMID 28092581. Unknown parameter |s2cid= ignored (help)
  1. "The International Centre".
  2. "Scientific Council of the Ukrainian Association for "Computer Medicine". Ukrainian Association for «Computer Medicine». Retrieved 2017-04-09.
  3. "L. Fainzilberg Personal site (in Russian)".
  4. The Use Of Fasegraphy Method] / Methodical recommendations of the Ministry of Health of Ukraine. – K., 2017. – 32 P. (in Ukrainian) [1]


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