Existing techniques for the synthesis of ECG signals were reviewed. The optimum technique for an ECG signal generator was identified. Software for synthesizing calibration signals with the option of cardiac waveform adjustment was developed. A circuit for matching the generated signal to the electrocardiograph machine was proposed.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
GOST R IEC 60601-2-51-2011: Medical Electrical Equipment. Part 2-51. Particular Requirements for Safety, Including Essential Performance, of Recording and Analysing Single-Channel and Multichannel Electrocardiograph Machines[in Russian].
Physionet. The Research Resource for Complex Physiologic Signals; https://www.physionet.org/ (accessed March 15, 2020).
McSharry, P. E., Clifford, G., Tarassenko, L., and Smith, L. A., “A dynamical model for generating synthetic electrocardiogram signals,” IEEE Trans. Biomed. Eng., 50, 289-294 (2003).
Kazakov, D. V., “A quasiperiodic two-component dynamic model for synthesis of cardiac signals using time series and the fourth-order Runge–Kutta method,” Komp. Issled. Model., 4, 143-154 (2012).
Yakushenko, E. S., “A program for modeling the ECG in LabVIEW,” Biotekhnosfera, No. 3, 64-67 (2012).
Pipin, V. V., Ragul’skaya, M. V., and Chibisov, S. M., “Dynamic models and ECG reconstruction in heliogeophysical fluctuations,” Vestnik RUDN Ser. Med., No. 2, 25-30 (2010).
Dolinsky, P., Andras, I., Michaeli, L., and Grimaldi, D., “Model for generating simple synthetic ECG signals,” Acta Electrotech. Informat., 18, 3-8 (2018).
Sayadi, O., Shamsollahi, M. B., and Clifford, G. D., “Synthetic ECG generation and Bayesian filtering using a Gaussian wave-based dynamical model,” Physiol. Meas., 31, 1309-1329 (2010).
Shishkin, M. A., Butova, O. A., Fetyukhina, L. V., Akhiezer, E. B., and Dunaevskaya, O. I., “A MATLAB model of an ECG signal generator based on frequency transformation,” Visn. NTU KhPI Ser. Novi Rishen. Suchast. Tekhnol., No. 26, 140-147 (2018).
Kubicek, J., Penhaker, M., and Kahankova, R., “Design of a synthetic ECG signal based on the Fourier series,” in: Int. Conf. on Advances in Computing, Communications and Informatics, New Delhi, India (2014), pp. 1881-1885.
Kovacs, P., “ECG signal generator based on geometrical features,” Ann. Univ. Scient. Budapest. Sect. Comput., No. 37, 247-260 (2012).
Abramov, M. V., “Use of exponents for approximation of cardio-logical series based on the ECG,” Vestn. Kibernet., No. 9, 85-91 (2010).
The Neurotest 7 Multifunctional Special Waveform Signal Generator: Technical Specifications Booklet [in Russian]; https://mks.ru/netcat_files/209_51.pdf (accessed March 15, 2020).
Briko, A. N., Davydov, D. V., Egorov, A. I., and Filimonov, P. V., A Device Simulating Human Biosignals for Testing Electrocardiograph Machines [in Russian], RF Patent No. 184385 (2018).
Orlov, V. N., Handbook of Electrocardiography [in Russian], MIA, Moscow (2007).
Hampton, J., The ECG Made Easy [Russian translation], Meditsinskaya Literatura, Moscow (2006).
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Meditsinskaya Tekhnika, Vol. 55, No. 5, Sep.-Oct., 2021, pp. 10-13.
Rights and permissions
About this article
Cite this article
Gerasimov, A.K., Pedonova, Z.N. Development of Hardware and Software for Generating Test ECG Signals. Biomed Eng 55, 315–318 (2022). https://doi.org/10.1007/s10527-022-10126-1
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10527-022-10126-1