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Space of informative features for classifying episodes of cardiac arrhythmia
https://doi.org/10.17586/0021-3454-2024-67-12-1082-1086
Abstract
The relevance of the problem of selecting informative features that allow detecting possible cardiac arrhythmias and classifying arrhythmias is shown. It is proposed to use eight informative features of the electrocardiocomplex. It is shown that these features can be reduced to two aggregated indicators. The study was conducted on the materials of lead II of the open verified MIT-BIH Arrhythmia DB database and the database of multichannel ECGs of the St. Petersburg Institute of Cardiology Technology “INKART”. The results of the classification using the support vector method demonstrate the validity of the selected space of informative features for classifying various states of the cardiac rhythm.
About the Authors
B. K. Akopyan
St. Petersburg State University of Aerospace Instrumentation
Russian Federation
Russian Federation
Bella K. Akopyan - Department of Applied Informatics; Senior Lecturer
St. Petersburg
T. M. Tatarnikova
St. Petersburg State University of Aerospace Instrumentation
Russian Federation
Russian Federation
Tatiana M. Tatarnikova - Dr. Sci., Professor, Institute of Information Technologies and Programming; Director of the Institute
St. Petersburg
References
1. http://zdrav.spb.ru/ru/programms/heart/. (in Russ.)
2. Zharinov O.O., Zharinov I.O. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2011, no. 5, pp. 85–90. (in Russ.)
3. Zong W., Moody G.B., Jiang D. Computers in Cardiology, 2003, no. 30, pp. 737–740.
4. Akopyan B.K. Journal of Instrument Engineering, 2024, no. 4(67), pp. 305–314, DOI: 10.17586/0021-3454-2024-67-4-305-314/. (in Russ.)
5. Zarubin F.E. Arrhythmology Bulletin, 1998, no. 10, pp. 25–30. (in Russ.)
6. Nesterova E.A. Cardiology: News. Opinions. Training, 2016, no. 2, pp. 77–85. (in Russ.)
7. Rudnitskiy L.V. Karmannyy spravochnik meditsinskikh analizov (Pocket Handbook of Medical Analyses), St. Petersburg, 2014, 320 р. (in Russ.)
8. Ivanov G.G., Dvornikov V.E., Sbeitan S., Bulgakova E.Ju., Alexandrova M.R., Gribanov A.N. RUDN Journal of Medicine, 2007, no. 4, pp. 26–34. (in Russ.)
9. Antsiperov V.E., Zabrosaev I.V., Rastyagaev D.V. Journal of Radio Electronics, 2015, no. 12, http://jre.cplire.ru/jre/dec15/4/text.html. (in Russ.)
10. Friesen G.M., Jannett T.C., Jadallah M.A. et al. IEEE Transactions on biomedical engineering, 1990, no. 1(37), pp. 85-97.
11. Raskopina A.S., Bozhenko V.V., Tatarnikova T.M. Journal of Instrument Engineering, 2024, no. 4(67), pp. 315–320, DOI:10.17586/0021-3454-2024-67-4-321-329. (in Russ.)
Review
For citations:
Akopyan B.K., Tatarnikova T.M. Space of informative features for classifying episodes of cardiac arrhythmia. Journal of Instrument Engineering. 2024;67(12):1082-1086. (In Russ.) https://doi.org/10.17586/0021-3454-2024-67-12-1082-1086
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