Jiří Spilka
Katedra kybernetiky, Fakulta elektrotechnická
České vysoké učení technické v Praze
Tel.: +420 606284152
E-mail: jirka.spilka@gmail.com
Člen:
Lidi s celokatederní působností
Současná pozice:
- Canceled -
Vzdělání:
2009 - 2013, PhD studies, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague
2006 - 2009, Master studies, Biomedical Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, diploma thesis: Fetal electrocadiogram analysis
2006 - 2009, Master studies, Biomedical Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, diploma thesis: Fetal electrocadiogram analysis
Publikace:
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.
V. Chudáček, J. Spilka, M. Burša, P. Janků, L. Hruban, M. Huptych, and L. Lhotská, Open access intrapartum CTG database, BMC Pregnancy Childbirth, vol. 14, no. 1, pp. 16, 2014.
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
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.
V. Chudáček, J. Spilka, M. Burša, P. Janků, L. Hruban, M. Huptych, and L. Lhotská, Open access intrapartum CTG database, BMC Pregnancy Childbirth, vol. 14, no. 1, pp. 16, 2014.
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
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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