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)

A Fast Noniterative Visually Lossless Compression of Dental Images Using BPG Coder. - Liudmyla S. Kryvenko; Olha Krylova; Sergey S. Krivenko; Vladimir V. Lukin (MECO, 2022)

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)

Training the Machine Learning Model for Clinical IoT Data and Device Interoperability. - Valeryi M. Bezruk; Stanislav A. Krivenko; Oleksandr O. Kyrsanov; Sergii S. Kryvenko; Liudmyla S. Kryvenko (MECO, 2023)

Machine Learning Model for the Imbalanced Dataset. - Stanislav A. Krivenko; Liudmyla S. Kryvenko; Sergii S. Kryvenko (MECO, 2025)