The paper provides a detailed description of the process of forming and processing the ECG database, and provides links to the regulatory legal acts necessary for its creation. The principles of the formation and work of the expert group are defined, and the technology of processing an array of raw data is proposed. Two-level modelling was used to process 220 ECGs which were included into the database. A reduced thesaurus was used to create reference annotations, allowing someone to compare results when testing different algorithms and programs for automated ECG descriptions.
References
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2. Ryabykina GV, et al. Remote ECG transmission and centralized ECG analysis and archiving systems. Experience of using the Easy ECG system in the FGBU RKNPK MZSR of Russia. Part 2. Clinic. Limited Liability Company «Medical Press ». 2013; 5-2: 10-13. (In Russ).
3. Shekhurdina SD, Shuvalova TYu. Remote transmission of ECG (on the example of the Vologda region). Science of the XXI century: experience of the past — a look into the future. 2016. P. 279-284. (In Russ).
4. Yusupova EYu, Sidorenko VV, Shelyagin IS. Remote transmission and description of electrocardiograms on the territory of tyumen region. Siberian Bulletin of Medical Informatics and Health Informatizatio n. 2018; 1-2: 37-40. (In Russ).
5. Shkarin VV, et al. Unified territorial system for screening diseases of the circulatory system in the rural population using telemedicine technologies of the Volgograd region. Health Mana ger. 2018; 5: 50-57. (In Russ).
6. Vladzimirsky AV. Telemedicine in cardiology: possibilities and evidence. Deputy chief physic ian. 2016; 8: 80-89. (In Russ).
7. PhysioNet Databases. Available at: https://physionet.org/about/database.
8. AAMI TIR24 1999 Acquisition and use of physiologic waveform databases for testing of medical devices (rev. 2019).
9. Moody GB, Mark RG. The Impact of the MIT-BIH Arrhythmia Database. IEEE Engineering in Medicine and Biology Magazine. 2001;20: 45-50. doi: 10.1109/51.932724.
10. Goodwin AJ, Eytan D, Greer RW, Mazwi M, Thommandram A, Goodfellow SD, Assadi A, Jegatheeswaran A, Laussen PC. A practical approach to storage and retrieval of high-frequency physiological signals. Physiological Measurement; 41(3).
11. Statement of Validation and Accuracy for the Glasgow 12-Lead ECG Analysis Program. 2009 Physio-Control, Inc.
12. Smíšek R, Maršánová L, Němcová A, Vítek M, Kozumplík J, Nováková M. CSE database: extended annotations and new recommendations for ECG software testing. Medical and Biological Engineering and Computing. Heidelberg. 2017; 55(8): 1473-1482. doi:10.1007/s11517-016-1607-5.
13. Wagner P, Strodthoff N, Bousseljot RD, et al. PTB-XL, a large publicly available electrocardiography dataset. 2020; 7: 154. doi: 10.1038/s41597-020-0495-6.
14. Willems JL, Arnaud P, Van Bemmel JH, Degani R, Macfarlane PW, Zywietz C. Common standards for quantitative electrocardiography: goals and main results. Methods of information in medicine. 1990; 29(04): 263-271.
15. GOST 7.24-2007 «Sistema standartov po informacii, bibliotechnomu i izdatel'skomu delu. Tezaurus informacionno-poiskovyj mnogoyazychnyj. Sostav, struktura i osnovnye trebovaniya k postroeniyu». (In Russ). 16. «GOST R 55036–2012 / ISO/TS25237:2008 Informatizaciya zdorov'ya. Psevdonimizaciya». (In Russ). 17. Mason JW, Hancock EW, Gettes LS. Recommendations for the standardization and interpretation of the electrocardiogram: part II: electrocardiography diagnostic statement list a scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society Endorsed by the International Society for Computerized Electrocardiology. Journal of the American College of Cardiology. 2007; 49(10): 1128-1135. 18. GE Healthcare. Marquette 12SL ECG Analysis Program. Statement of Validation and Accuracy (Online). Available at: http://gehealthcare.com. 19. Pavlov NA, Andreychenko AE, Vladzymyrskyy AV, Revazyan AA, Kirpichev YS, Morozov SP. Reference medical datasets (MosMedData) for independent external evaluation of algorithms based on artificial intelligence in diagnostics. Digital Diagnostics. 2021; 2(1): 49-65. (In Russ). doi: 10.17816/DD60635. 20. Goldberger A, Amaral L, Glass L, Hausdorff J, Ivanov PC, Mark R, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 2000; 101(23); e215-e220.
For citation
Shutov D.V., Drozdov D.V., Gazashvili T.M., Popov A.A., Efimova V.P., Safarova A.F., Yurtaeva V.R., Shutova E.V., Demkina A.E., Prilutsky D.A., Yurovsky A.Yu., Skoda A.S., Morozov S.P. Methodology and regulatory implications of ECG database formation for testing automated algorithms and AI systems. Medical doctor and information technology. 2021; 4: 4-15. (In Russ.). doi: 1025881/18110193_2021_4_4.
Keywords