Functional diagnostic using electrical impedance tomography reconstruction and the Internet of Things. - Anatolii A. Pulavskyi; Sergey S. Krivenko; Liudmyla S. Kryvenko (MECO, 2017)

Diagnosing the signs of pathological states of a human based on the analysis of heart rate variability. - Anatolii A. Pulavskyi; Sergey S. Krivenko; Liudmyla S. Kryvenko (MECO, 2018)

Determination of the Signal-to-Noise Ratio for Noisy Electrocardiogram Using Lossless Data Compression. - A. A. Pulavskyi; Sergey S. Krivenko; Liudmyla S. Kryvenko (MECO, 2019)

Evaluation of the Effectiveness of Post-filtration Smoothing using Lossless Compression for Heart Rate Variability Obtained from a Very Noisy ECG. - A. A. Pulavskyi; Sergey S. Krivenko; Liudmyla S. Kryvenko (MECO, 2020)

Using Mel-Frequency Cepstrum and Amplitude-Time Heart Variability as XGBoost Handcrafted Features for Heart Disease Detection. - Sergey S. Krivenko; A. A. Pulavskyi; Liudmyla S. Kryvenko; O. V. Krylova; Stanislaw A. Krivenko (CinC, 2021)

Determination of the risk of developing diabetes mellitus based on the patterns of symbolic dynamics of the amplitude-time heart rate variability. - A. A. Pulavskyi; I. V. Linskiy; M. F. Posokhov; Stanislaw A. Krivenko; Liudmyla S. Kryvenko (MECO, 2021)

Automatic recognition of congestive heart failure signs in heart rate variability data. - A. A. Pulavskyi; Sergey S. Krivenko; Stanislav A. Krivenko; I. V. Linskiy; M. F. Posokhov; Liudmyla S. Kryvenko (MECO, 2022)