Fast and automated ECG diagnosis is of great benefit for treatment of cardiovascular and other conditions. The algorithms used to extract parameters need to be precise, robust and efficient. Appropriate training and testing methods for such algorithms need to be implemented for optimal results. This paper presents a software solution for computer ECG generation and a simplified concept of testing process. All the parameters of the resulting generated signal can be tweaked and set properly. Such software can also be beneficial for training and educational use.

Maciejewski, M., Maciejewska, B., Karpiński, R., & Krakowski, P. (2020). Electrocardiogram generation software for testing of parameter extraction algorithms. Applied Computer Science, 16(4), 37-47. doi:10.23743/acs-2020-27

Maciejewski, Marcin, Barbara Maciejewska, Robert Karpiński, and Przemysław Krakowski. "Electrocardiogram Generation Software for Testing of Parameter Extraction Algorithms." Applied Computer Science 16, no. 4 (2020): 37-47.

M. Maciejewski, B. Maciejewska, R. Karpiński, and P. Krakowski, "Electrocardiogram generation software for testing of parameter extraction algorithms," Applied Computer Science, vol. 16, no. 4, pp. 37-47, 2020, doi: 10.23743/acs-2020-27.

Maciejewski M, Maciejewska B, Karpiński R, Krakowski P. Electrocardiogram generation software for testing of parameter extraction algorithms. Applied Computer Science. 2020;16(4):37-47.