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Jiří Spilka.

Researcher at Czech Institute of Informatics, Robotics and Cybernetics (CIIRC)
Czech Technical University in Prague

Curriculum vitae

full CV

Research interest

biomedical signal processing, machine learning, classification, fetal heart rate analysis and classification, cardiotocography

Research projects:
(Grant IGA) – Cardiotocography evaluation by means of artificial intelligence
(Eniac-MAS) – One part of the project: mCTG – Mobile CardiTocoGraphy – telemedicine application for risk pregnancies at home.

Selected Publications


Spilka2017jbhi J. Spilka, J. Frecon, R. Leonarduzzi, N. Pustelnik, P. Abry, M. Doret Sparse Support Vector Machine for Intrapartum Fetal Heart Rate Classification In IEEE Journal of Biomedical and Health Informatics, 21(3), 664 - 671, 2017.
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Spilka2016bsi J. Spilka, R. Leonarduzzi, V. Chudáček, P. Abry, M. Doret Fetal Heart Rate Classification: First vs. Second Stage of Labor In 8th International Workshop on Biosignal Interpretation, 2016.
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Spilka2016medicon J. Spilka, V. Chudáček , M. Huptych, R. Leonarduzzi, P. Abry, M. Doret Intrapartum Fetal Heart Rate Classification: Cross-Database Evaluation In XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016: MEDICON 2016, April 2016.
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Doret2015plosone M. Doret, J. Spilka, V. Chudáček, P. Goncalves, P. Abry Fractal Analysis and Hurst Parameter for Intrapartum Fetal Heart Rate Variability Analysis: A Versatile Alternative to Frequency Bands and LF/HF Ratio In PLoS ONE, vol. 10, no. 8, p. e0136661, 08 2015.
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highlights image J. Spilka, J. Frecon, R. Leonarduzzi, N. Pustelnik, P. Abry, M. Doret Intrapartum Fetal Heart Rate Classification from Trajectory in Sparse SVM feature space In Ann Int Conf IEEE Eng Med Biol Soc (EMBC), Milan, Italy, August 2015, pp. 2335--2338.
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highlights image L. Hruban, J. Spilka, V. Chudáček, P. Janků, et al. Agreement on intrapartum cardiotocogram recordings between expert obstetricians In Journal of Evaluation in Clinical Practice, 21(4): 694-702, 2015.
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highlights image P. Karvelis, J. Spilka, G. Georgoulas, V. Chudáček, C. Stylios, L. Lhotská Combining Latent Class Analysis Labeling with Multiclass Approach for Fetal Heart Rate Categorization In Physiological Measurement 36, 1001-1024, 2015.
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highlights image J. Spilka, S.G. Roux, N.B. Garnier, P. Abry, P. Goncalves, and M. Doret Nearest-neighbor based wavelet entropy rate measures for intrapartum fetal heart rate variability In Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, 2813–2816, IEEE, 2014.
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highlights image J. Spilka, V. Chudáček, P. Janků, L. Hruban, M. Burša, M. Huptych, L. Zach, L. Lhotská. Analysis of obstetricians’ decision making on CTG recordings. Journal of Biomedical Informatics 2014, 51:72-79, 2014
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highlights image V. Chudáček, J. Spilka, M. Burša, P. Janků, L. Hruban, M. Huptych, L. Lhotská. Open access intrapartum CTG database. BMC Pregnancy and Childbirth 2014 14(1):16, 2014.
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highlights image J. Spilka, V. Chudáček, M. Koucký, L. Lhotská, M. Huptych, P. Janků, G. Georgoulas, C. Stylios. Using nonlinear features for fetal heart rate classification. Biomedical Signal Processing and Control 7(4):350–357, 2012.
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highlights image V. Chudáček, J. Spilka, P. Janků, M. Koucký, L. Lhotská, and M. Huptych. Automatic evaluation of intrapartum fetal heart rate recordings: A comprehensive analysis of useful features. Physiological Measurement 32:1347–1360, 2011.
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highlights image J. Spilka, V. Chudáček, V. Kužílek, L. Lhotská, and M. Hanuliak. Detection of Inferior Myocardial Infarction: A Comparison of Various Decision Systems and Learning Algorithms. In Computers in Cardiology volume 37, 2010
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Teaching

present: AE3M33UI: Artificial Intelligence
past: Medical Informatics, Introduction to Biomedical Engineering, eHealth and telemedicine