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Scopus Author ID: 23389167400
ResearcherID: T-4889-2018

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Employment (1)

Silesian University of Technology: Gliwice, PL

2011-12-05 to present (Institute of Electronics)
Employment
Source: Self-asserted source
Michal Jezewski

Education and qualifications (2)

Silesian University of Technology: Gliwice, PL

2006-10-01 to 2011-09-20 | PhD (Faculty of Automatic Control, Electronics, and Computer Science)
Education
Source: Self-asserted source
Michal Jezewski

Silesian University of Technology: Gliwice, PL

2001-10-01 to 2006-06-28 | MSc Eng (Faculty of Automatic Control, Electronics, and Computer Science)
Education
Source: Self-asserted source
Michal Jezewski

Works (50 of 52)

Items per page:
Page 1 of 2

Non-Invasive Fetal Electrocardiogram Extraction Based on Novel Hybrid Method for Intrapartum ST Segment Analysis

IEEE Access
2021 | Journal article
DOI: 10.1109/ACCESS.2021.3058733
Contributors: Radek Martinek; Radana Kahankova; Rene Jaros; Katerina Barnova; Adam Matonia; Michal Jezewski; Robert Czabanski; Krzysztof Horoba; Janusz Jezewski
Source: check_circle
Crossref

A Review of Signal Processing Techniques for Non-Invasive Fetal Electrocardiography

IEEE Reviews in Biomedical Engineering
2020 | Journal article
DOI: 10.1109/RBME.2019.2938061
Contributors: Radana Kahankova; Radek Martinek; Rene Jaros; Khosrow Behbehani; Adam Matonia; Michal Jezewski; Joachim A. Behar
Source: check_circle
Crossref

Passive Fetal Monitoring by Advanced Signal Processing Methods in Fetal Phonocardiography

IEEE Access
2020 | Journal article
DOI: 10.1109/ACCESS.2020.3043496
Contributors: Radek Martinek; Katerina Barnova; Rene Jaros; Radana Kahankova; Tomasz Kupka; Michal Jezewski; Robert Czabanski; Adam Matonia; Janusz Jezewski; Krzysztof Horoba
Source: check_circle
Crossref

Fuzzy Ordered $c$-Means Clustering and Least Angle Regression for Fuzzy Rule-Based Classifier: Study for Imbalanced Data

IEEE Transactions on Fuzzy Systems
2020-11 | Journal article
DOI: 10.1109/TFUZZ.2019.2939989
Contributors: Jacek M. Leski; Robert Czabanski; Michal Jezewski; Janusz Jezewski
Source: check_circle
Crossref

New Method for Beat-to-Beat Fetal Heart Rate Measurement Using Doppler Ultrasound Signal

Sensors
2020-07-22 | Journal article
DOI: 10.3390/s20154079
Contributors: Tomasz Kupka; Adam Matonia; Michal Jezewski; Janusz Jezewski; Krzysztof Horoba; Janusz Wrobel; Robert Czabanski; Radek Martinek
Source: check_circle
Crossref

Coping with limitations of fetal monitoring instrumentation to improve heart rhythm variability assessment

Biocybernetics and Biomedical Engineering
2020-01 | Journal article
DOI: 10.1016/j.bbe.2019.12.005
Contributors: Tomasz Kupka; Adam Matonia; Michal Jezewski; Krzysztof Horoba; Janusz Wrobel; Janusz Jezewski
Source: check_circle
Crossref

Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine

Sensors
2020-01-30 | Journal article
DOI: 10.3390/s20030765
Contributors: Robert Czabanski; Krzysztof Horoba; Janusz Wrobel; Adam Matonia; Radek Martinek; Tomasz Kupka; Michal Jezewski; Radana Kahankova; Janusz Jezewski; Jacek Leski
Source: check_circle
Crossref

Fuzzy classifier based on clustering with pairs of ε-hyperballs and its application to support fetal state assessment

Expert Systems with Applications
2019 | Journal article
DOI: 10.1016/j.eswa.2018.09.030
EID:

2-s2.0-85054463705
Contributors: Jezewski, M.; Czabanski, R.; Leski, J.M.; Jezewski, J.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier
grade
Preferred source (of 2)‎

Fuzzy clustering with ε-hyperballs and its application to data classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | Book
DOI: 10.1007/978-3-319-59060-8_9
EID:

2-s2.0-85020928095
Contributors: Jezewski, M.; Czabanski, R.; Leski, J.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Introduction to fuzzy sets

Studies in Fuzziness and Soft Computing
2017 | Book
DOI: 10.1007/978-3-319-59614-3_1
EID:

2-s2.0-85032033059
Contributors: Jezewski, M.; Czabanski, R.; Leski, J.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Introduction to fuzzy systems

Studies in Fuzziness and Soft Computing
2017 | Book
DOI: 10.1007/978-3-319-59614-3_2
EID:

2-s2.0-85031995301
Contributors: Czabanski, R.; Jezewski, M.; Leski, J.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Is abdominal fetal electrocardiography an alternative to doppler ultrasound for FHR variability evaluation?

Frontiers in Physiology
2017 | Journal article
DOI: 10.3389/fphys.2017.00305
EID:

2-s2.0-85019708763
Contributors: Jezewski, J.; Wrobel, J.; Matonia, A.; Horoba, K.; Martinek, R.; Kupka, T.; Jezewski, M.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Non-adaptive methods of fetal ecg signal processing

Advances in Electrical and Electronic Engineering
2017 | Journal article
DOI: 10.15598/aeee.v15i3.2196
EID:

2-s2.0-85030541103
Contributors: Kahankova, R.; Jaros, R.; Martinek, R.; Jezewski, J.; Wen, H.; Jezewski, M.; Kawala-Janik, A.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Robust detection of systolic peaks in arterial blood pressure signal

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | Book
DOI: 10.1007/978-3-319-59063-9_63
EID:

2-s2.0-85020938442
Contributors: Pander, T.; Czabański, R.; Przybyła, T.; Pietraszek, S.; Jeżewski, M.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

The influence of gestation age on the performance of adaptive algorithms used for fetal ecg signal extraction

Advances in Electrical and Electronic Engineering
2017 | Journal article
DOI: 10.15598/aeee.v15i3.2207
EID:

2-s2.0-85030540350
Contributors: Kahankova, R.; Jezewski, J.; Nedoma, J.; Jezewski, M.; Fajkus, M.; Kawala-Janik, A.; Wen, H.; Martinek, R.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Automated detection of uterine contractions in tocography signals – Comparison of algorithms

Biocybernetics and Biomedical Engineering
2016 | Journal article
DOI: 10.1016/j.bbe.2016.08.005
EID:

2-s2.0-84992220316
Contributors: Horoba, K.; Wrobel, J.; Jezewski, J.; Kupka, T.; Roj, D.; Jezewski, M.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Classification based on incremental fuzzy (1 + p)-means clustering

Advances in Intelligent Systems and Computing
2016 | Book
DOI: 10.1007/978-3-319-23437-3_48
EID:

2-s2.0-84983108541
Contributors: Jezewski, M.; Leski, J.M.; Czabanski, R.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Clustering with Pairs of Prototypes to Support Automated Assessment of the Fetal State

Applied Artificial Intelligence
2016 | Journal article
DOI: 10.1080/08839514.2016.1193718
EID:

2-s2.0-84979223407
Contributors: Jezewski, M.; Czabanski, R.; Horoba, K.; Leski, J.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Design and interfacing aspects of the medical instrumentation for modern hospital system for pregnancy and labour monitoring

Proceedings of the 23rd International Conference Mixed Design of Integrated Circuits and Systems, MIXDES 2016
2016 | Conference paper
DOI: 10.1109/MIXDES.2016.7529793
EID:

2-s2.0-84992157008
Contributors: Horoba, K.; Jezewski, J.; Wrobel, J.; Kupka, T.; Pawlak, A.; Czabanski, R.; Jezewski, M.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Early predicting a risk of preterm labour by analysis of antepartum electrohysterograhic signals

Biocybernetics and Biomedical Engineering
2016 | Journal article
DOI: 10.1016/j.bbe.2016.06.004
EID:

2-s2.0-84977260178
Contributors: Horoba, K.; Jezewski, J.; Matonia, A.; Wrobel, J.; Czabanski, R.; Jezewski, M.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Fuzzy Analysis of Delivery Outcome Attributes for Improving the Automated Fetal State Assessment

Applied Artificial Intelligence
2016 | Journal article
DOI: 10.1080/08839514.2016.1193717
EID:

2-s2.0-84979243172
Contributors: Czabanski, R.; Jezewski, M.; Horoba, K.; Jezewski, J.; Leski, J.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Selected design issues of the medical cyber-physical system for telemonitoring pregnancy at home

Microprocessors and Microsystems
2016 | Journal article
DOI: 10.1016/j.micpro.2016.07.005
EID:

2-s2.0-84978786358
Contributors: Jezewski, J.; Pawlak, A.; Horoba, K.; Wrobel, J.; Czabanski, R.; Jezewski, M.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

An Attempt to Optimize the Cardiotocographic Signal Feature Set for Fetal State Assessment

Journal of Medical Imaging and Health Informatics
2015 | Journal article
DOI: 10.1166/jmihi.2015.1540
WOSUID:

WOS:000361933600035
Contributors: Jezewski, Michal; Czabanski, Robert; Leski, Jacek
Source: Self-asserted source
Michal Jezewski via ResearcherID

Analysis of Uterine Contractile Wave Propagation in Electrohysterogram for Assessing the Risk of Preterm Birth

Journal of Medical Imaging and Health Informatics
2015 | Journal article
DOI: 10.1166/jmihi.2015.1531
WOSUID:

WOS:000361933600026
Contributors: Horoba, Krzysztof; Jezewski, Janusz; Wrobel, Janusz; Matonia, Adam; Czabanski, Robert; Jezewski, Michal
Source: Self-asserted source
Michal Jezewski via ResearcherID

Efficient Evaluation of Fetal Wellbeing During Pregnancy Using Methods Based on Statistical Learning Principles

Journal of Medical Imaging and Health Informatics
2015 | Journal article
DOI: 10.1166/jmihi.2015.1536
WOSUID:

WOS:000361933600031
Contributors: Czabanski, Robert; Wrobel, Janusz; Jezewski, Janusz; Leski, Jacek; Jezewski, Michal
Source: Self-asserted source
Michal Jezewski via ResearcherID

Evaluation of the Robustness of Fetal Heart Rate Variability Measures to Low Signal Quality

Journal of Medical Imaging and Health Informatics
2015 | Journal article
DOI: 10.1166/jmihi.2015.1534
WOSUID:

WOS:000361933600029
Contributors: Wrobel, Janusz; Roj, Dawid; Jezewski, Janusz; Horoba, Krzysztof; Kupka, Tomasz; Jezewski, Michal
Source: Self-asserted source
Michal Jezewski via ResearcherID

Medical Cyber-Physical System for Home Telecare of High-Risk Pregnancy: Design Challenges and Requirements

Journal of Medical Imaging and Health Informatics
2015 | Journal article
DOI: 10.1166/jmihi.2015.1532
WOSUID:

WOS:000361933600027
Contributors: Wrobel, Janusz; Jezewski, Janusz; Horoba, Krzysztof; Pawlak, Adam; Czabanski, Robert; Jezewski, Michal; Porwik, Piotr
Source: Self-asserted source
Michal Jezewski via ResearcherID

Application of the conditional fuzzy clustering with prototypes pairs to classification

Advances in Intelligent Systems and Computing
2014 | Book
DOI: 10.1007/978-3-319-02309-0_43
EID:

2-s2.0-84927587366
Contributors: Jezewski, M.; Leski, J.M.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Quality based adaptation of signal analysis software in pregnancy home care system

IFMBE Proceedings
2014 | Conference paper
DOI: 10.1007/978-3-319-00846-2_138
EID:

2-s2.0-84891339776
Contributors: Wrobel, J.; Horoba, K.; Jezewski, J.; Kupka, T.; Jezewski, M.; Przybyla, T.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Application of fuzzy inference systems for classification of fetal heart rate tracings in relation to neonatal outcome

Ginekologia Polska
2013 | Journal article
EID:

2-s2.0-84874984612
Contributors: Czabański, R.; Jezewski, J.; Janusz, W.; Sikora, J.; Jezewski, M.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Classification of the fetal monitoring signals using fuzzy scoring system

IFMBE Proceedings
2013 | Conference paper
DOI: 10.1007/978-3-642-21198-0_216
EID:

2-s2.0-84875011761
Contributors: Czabanski, R.; Jezewski, M.; Wrobel, J.; Jezewski, J.; Horoba, K.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Fetal state assessment using fuzzy analysis of fetal heart rate signals - Agreement with the neonatal outcome

Biocybernetics and Biomedical Engineering
2013 | Journal article
DOI: 10.1016/j.bbe.2013.07.003
EID:

2-s2.0-84884157652
Contributors: Czabański, R.; Jezewski, J.; Horoba, K.; Jezewski, M.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Nonlinear extension of the IRLS classifier using clustering with pairs of prototypes

Advances in Intelligent Systems and Computing
2013 | Book
DOI: 10.1007/978-3-319-00969-8_12
EID:

2-s2.0-84880392041
Contributors: Jezewski, M.; Leski, J.M.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Computerized analysis of fetal heart rate signals as the predictor of neonatal acidemia

Expert Systems with Applications
2012 | Journal article
DOI: 10.1016/j.eswa.2012.01.196
EID:

2-s2.0-84863090874
Contributors: Czabanski, R.; Jezewski, J.; Matonia, A.; Jezewski, M.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Robust extraction of fuzzy rules with artificial neural network based on fuzzy inference system

International Journal of Intelligent Information and Database Systems
2012 | Journal article
DOI: 10.1504/IJIIDS.2012.045115
EID:

2-s2.0-84857188779
Contributors: Czabanski, R.; Jezewski, M.; Jezewski, J.; Wrobel, J.; Horoba, K.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Two-step analysis of the fetal heart rate signal as a predictor of distress

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2012 | Book
DOI: 10.1007/978-3-642-28490-8_45
EID:

2-s2.0-84858724651
Contributors: Czabanski, R.; Wrobel, J.; Jezewski, J.; Jezewski, M.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

An application of fuzzy clustering method to cardiotocographic signals classification

Advances in Intelligent and Soft Computing
2011 | Book
DOI: 10.1007/978-3-642-23169-8_34
EID:

2-s2.0-80052948725
Contributors: Jezewski, M.; Łȩski, J.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Cardiotocographic signals classification based on clustering and fuzzy if-then rules

IFMBE Proceedings
2011 | Conference paper
DOI: 10.1007/978-3-642-23508-5_33
EID:

2-s2.0-80455140134
Contributors: Jezewski, M.; Leski, J.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Fuzzy clustering finding prototypes on classes boundary

Advances in Intelligent and Soft Computing
2011 | Book
EID:

2-s2.0-84907551410
Contributors: Jezewski, M.; Leski, J.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Analysis of extracted cardiotocographic signal features to improve automated prediction of fetal outcome

Biocybernetics and Biomedical Engineering
2010 | Journal article
EID:

2-s2.0-78650603286
Contributors: Jezewski, M.; Czabański, R.; Wróbel, J.; Horoba, K.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Application of RBF neural networks for predicting low birth weight using features extracted from fetal monitoring signals

World Congress on Medical Physics and Biomedical Engineering, Vol 25, Pt 4: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
2010 | Book chapter
WOSUID:

WOS:000300975300099
Contributors: Jezewski, M.; Czabanski, R.; Roj, D.; Wrobel, J.; Jezewski, J.
Source: Self-asserted source
Michal Jezewski via ResearcherID

Influence of input data modification of neural networks applied to the fetal outcome classification

International Conference on Computers - Proceedings
2010 | Conference paper
EID:

2-s2.0-79958696660
Contributors: Jezewski, M.; Czabanski, R.; Roj, D.; Wrobel, J.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Predicting the risk of low-fetal birth weight from cardiotocographic signals using ANBLIR system with deterministic annealing and ε-insensitive learning

IEEE Transactions on Information Technology in Biomedicine
2010 | Journal article
DOI: 10.1109/TITB.2009.2039644
EID:

2-s2.0-77954607716
Contributors: Czabanski, R.; Jezewski, M.; Wrobel, J.; Jezewski, J.; Horoba
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Robust prediction with ANNBFIS system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2010 | Book
DOI: 10.1007/978-3-642-12101-2_20
EID:

2-s2.0-77956533712
Contributors: Czabanski, R.; Jezewski, M.; Horoba, K.; Jezewski, J.; Wrobel, J.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

A neuro-fuzzy approach to the classification of fetal cardiotocograms

IFMBE Proceedings
2008 | Conference paper
DOI: 10.1007/978-3-540-69367-3-120
EID:

2-s2.0-78049389256
Contributors: Czabanski, R.; Jezewski, M.; Wrobel, J.; Horoba, K.; Jezewski, J.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Automated classification of deceleration patterns in fetal heart rate signal using neural networks

IFMBE Proceedings
2008 | Conference paper
DOI: 10.1007/978-3-540-74471-9_2
EID:

2-s2.0-84902128321
Contributors: Jezewski, M.; Labaj, P.; Wrobel, J.; Matonia, A.; Jezewski, J.; Cholewa, D.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Prediction of newborn sex with neural networks approach to fetal cardiotocograms classification

Advances in Soft Computing
2008 | Book
DOI: 10.1007/978-3-540-68168-7_34
EID:

2-s2.0-58149177472
Contributors: Jezewski, M.; Czabanski, R.; Horoba, K.; Wrobel, J.; Jezewski, J.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

New approach to quantitative description of deceleration of fetal heart rate for the patterns classification

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
2007 | Conference paper
DOI: 10.1109/IEMBS.2007.4352999
EID:

2-s2.0-57649199306
Contributors: Labaj, P.; Jezewski, M.; Matonia, A.; Kupka, T.; Jezewski, J.; Gacek, A.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

Some practical remarks on neural networks approach to fetal cardiotocograms classification

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
2007 | Conference paper
DOI: 10.1109/IEMBS.2007.4353506
EID:

2-s2.0-57649201541
Contributors: Jezewski, M.; Wrobel, J.; Labaj, P.; Leski, J.; Henzel, N.; Horoba, K.; Jezewski, J.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier

The prediction of fetal outcome by applying neural network for evaluation of CTG records

Advances in Soft Computing
2007 | Book
DOI: 10.1007/978-3-540-75175-5_67
EID:

2-s2.0-61349144336
Contributors: Jezewski, M.; Wrobel, J.; Horoba, K.; Gacek, A.; Henzel, N.; Leski, J.
Source: Self-asserted source
Michal Jezewski via Scopus - Elsevier
Items per page:
Page 1 of 2

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