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2020 – today
- 2023
[c9]Valeryi M. Bezruk, Stanislav A. Krivenko
, Oleksandr O. Kyrsanov, Sergii S. Kryvenko, Liudmyla S. Kryvenko:
Training the Machine Learning Model for Clinical IoT Data and Device Interoperability. MECO 2023: 1-6- 2022
- [c8]Liudmyla S. Kryvenko, Olha Krylova, Sergey S. Krivenko, Vladimir V. Lukin:
A Fast Noniterative Visually Lossless Compression of Dental Images Using BPG Coder. MECO 2022: 1-6 - [c7]A. A. Pulavskyi, Sergey S. Krivenko, Stanislav A. Krivenko, I. V. Linskiy, M. F. Posokhov, Liudmyla S. Kryvenko:
Automatic recognition of congestive heart failure signs in heart rate variability data. MECO 2022: 1-5 - 2021
- [c6]Sergey S. Krivenko, A. A. Pulavskyi, Liudmyla S. Kryvenko, O. V. Krylova, Stanislaw A. Krivenko:
Using Mel-Frequency Cepstrum and Amplitude-Time Heart Variability as XGBoost Handcrafted Features for Heart Disease Detection. CinC 2021: 1-4 - [c5]A. A. Pulavskyi, I. V. Linskiy, M. F. Posokhov, Stanislaw A. Krivenko, Liudmyla S. Kryvenko:
Determination of the risk of developing diabetes mellitus based on the patterns of symbolic dynamics of the amplitude-time heart rate variability. MECO 2021: 1-6 - 2020
- [c4]A. A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko:
Evaluation of the Effectiveness of Post-filtration Smoothing using Lossless Compression for Heart Rate Variability Obtained from a Very Noisy ECG. MECO 2020: 1-5
2010 – 2019
- 2019
- [c3]A. A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko:
Determination of the Signal-to-Noise Ratio for Noisy Electrocardiogram Using Lossless Data Compression. MECO 2019: 1-4 - 2018
- [c2]Anatolii A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko:
Diagnosing the signs of pathological states of a human based on the analysis of heart rate variability. MECO 2018: 1-4 - 2017
- [c1]Anatolii A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko:
Functional diagnostic using electrical impedance tomography reconstruction and the Internet of Things. MECO 2017: 1-4
Coauthor Index
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