Publications.

You can find updated information at this web page.

full list of publications: Google Scholar
Ph.D. thesis: pdf

Selected Publications


Georgoulas2020_SIVP Georgoulas, G., Karvelis, P., Chudáček, V., Spilka J, et al. An exploratory approach to fetal heart rate–pH-based systems In SIViP 15, 43–51 (2021).
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Georgieva_et_al-2019 Georgieva, A, Abry, P, Chudáček, V, et al. Computer‐based intrapartum fetal monitoring and beyond: A review of the 2nd Workshop on Signal Processing and Monitoring in Labor (October 2017, Oxford, UK) In Acta Obstet Gynecol Scand 2019; 98: 1207‐ 1217.
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Abry2018bpex P. Abry, J. Spilka, R. Leonarduzzi, V. Chudáček, N. Pustelnik, M. Doret Sparse learning for Intrapartum fetal heart rate analysis In Biomedical Physics Engineering Express 4(3) 034002, 2018.
web | .pdf | .bib | paper results
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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Georgoulas2017_ht G. Georgoulas, P. Karvelis, J. Spilka, V. Chudáček, C. D. Stylios, L. Lhotská Investigating pH based evaluation of fetal heart rate (FHR) recordings In Health and Technology 10.1007/s12553-017-0201-7, 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 R. Leonarduzzi, J. Spilka, J. Frecon, H. Wendt, N. Pustelnik, S. Jaffard, P. Abry, M. Doret p-leader Multifractal Analysis and Sparse SVM for Intrapartum Fetal Acidosis Detection In Ann Int Conf IEEE Eng Med Biol Soc (EMBC) Milan, Italy, August 2015, pp. 1971-1974.
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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 M. Burša, L. Lhotská, V. Chudáček, J. Spilka, P. Janků, L. Hruban Information retrieval from hospital information system: Increasing effectivity using swarm intelligence In Journal of Applied Logic pages 126–137. Springer, 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 R.F. Leonarduzzi, J. Spilka, H. Wendt, S. Jaffard, M.E. Torres, P. Abry, and M. Doret p-Leader Based Classification of First Stage Intrapartum Fetal HRV In Ariel Braidot and Alejandro Hadad, editors, VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014, volume 49 of IFMBE Proceedings, pages 504–507. Springer International Publishing, 2015.
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highlights image J. Spilka, P. Abry, P. Goncalves, and M. Doret Impacts of First and Second Labour Stages on Hurst Parameter In Computing in Cardiology, Volume 41, pages 777–780, 2014.
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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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