Search results
- 1.0583012 - ÚPT 2024 RIV US eng C - Conference Paper (international conference)
Koščová, Zuzana - Smíšek, Radovan - Nejedlý, Petr - Halámek, Josef - Jurák, Pavel - Leinveber, P. - Čurila, K. - Plešinger, Filip
Ultra-High Frequency ECG Deep-Learning Beat Detector Delivering QRS Onsets and Offsets.
2022 Computing in Cardiology (CinC). New York: IEEE, 2022, 2022-eptember (2022), č. článku 230. ISBN 979-8-3503-0097-0. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2022 /49./. Tampere (FI), 04.09.2022-07.09.2022]
Institutional support: RVO:68081731
Keywords : QRS duration * ultra-high-frequency ECG * deep learning
OECD category: Medical engineering
Result website:
https://ieeexplore.ieee.org/document/10081715 https://www.cinc.org/archives/2022/pdf/CinC2022-230.pdf
DOI: https://doi.org/10.22489/CinC.2022.230
Permanent Link: https://hdl.handle.net/11104/0351424 - 2.0583011 - ÚPT 2024 RIV US eng C - Conference Paper (international conference)
Plešinger, Filip - Ivora, Adam - Vargová, Enikö - Smíšek, Radovan - Pavlus, Ján - Koščová, Zuzana - Nejedlý, Petr - Bulková, V. - Kozubík, R. - Halámek, Josef - Jurák, Pavel
Scalable, Multiplatform, and Autonomous ECG Processor Supported by AI for Telemedicine Center.
2022 Computing in Cardiology (CinC). New York: IEEE, 2022, 2022-eptember (2022), č. článku 052. ISBN 979-8-3503-0097-0. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2022 /49./. Tampere (FI), 04.09.2022-07.09.2022]
R&D Projects: GA TA ČR(CZ) FW01010305
Institutional support: RVO:68081731
Keywords : software * AI * ECG * analysis
OECD category: Medical engineering
Result website:
https://ieeexplore.ieee.org/document/10081823 https://www.cinc.org/archives/2022/pdf/CinC2022-052.pdf
DOI: https://doi.org/10.22489/CinC.2022.052
Permanent Link: https://hdl.handle.net/11104/0351425 - 3.0583010 - ÚPT 2024 RIV US eng C - Conference Paper (international conference)
Nejedlý, Petr - Pavlus, Ján - Smíšek, Radovan - Vargová, Enikö - Koščová, Zuzana - Viščor, Ivo - Jurák, Pavel - Plešinger, Filip
Utilization of Deep Learning and Expert Feature Classifier for Detection of Heart Murmurs.
2022 Computing in Cardiology (CinC). New York: IEEE, 2022, 2022-eptember (2022), č. článku 041. ISBN 979-8-3503-0097-0. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2022 /49./. Tampere (FI), 04.09.2022-07.09.2022]
R&D Projects: GA TA ČR(CZ) FW01010305
Institutional support: RVO:68081731
Keywords : heart murmurs * deep learning * classification
OECD category: Medical engineering
Result website:
https://ieeexplore.ieee.org/document/10081763 https://www.cinc.org/archives/2022/pdf/CinC2022-041.pdf
DOI: https://doi.org/10.22489/CinC.2022.041
Permanent Link: https://hdl.handle.net/11104/0351652 - 4.0582865 - ÚPT 2024 RIV US eng C - Conference Paper (international conference)
Palacios, S. - Smíšek, Radovan - Čurila, K. - Nguyen, U. C. - Prinzen, F. W. - Halámek, Josef - Plešinger, Filip - Jurák, Pavel - Martinez, J. P. - Pueyo, E.
Spatial Dispersion of Activation and Repolarization Times Associated with Different Cardiac Pacing Modes.
2023 Computing in Cardiology (CinC). New York: IEEE, 2023, (2023). ISBN 979-8-3503-8252-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2023 /50./. Atlanta (US), 01.10.2023-04.10.2023]
Institutional support: RVO:68081731
Keywords : ultra-high-frequency ECG * UHF ECG * cardiac pacing * physiological pacing * repolarization times
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result website:
https://www.cinc.org/archives/2023/pdf/CinC2023-420.pdf https://ieeexplore.ieee.org/document/10364130
DOI: https://doi.org/10.22489/CinC.2023.420
Permanent Link: https://hdl.handle.net/11104/0350978 - 5.0559962 - ÚPT 2023 RIV US eng C - Conference Paper (international conference)
Uher, Daniel - Klimeš, Petr - Cimbálník, J. - Roman, R. - Pail, M. - Brázdil, M. - Jurák, Pavel
Stereo-electroencephalography (SEEG) reference based on low-variance signals.
IEEE Engineering in Medicine and Biology Society Conference Proceedings. In: 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). New York: IEEE, 2020, (2020), s. 204-207. ISBN 978-1-7281-1990-8. ISSN 1557-170X.
[Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) /42./. Montreal (CA), 20.07.2020-24.07.2020]
R&D Projects: GA MŠMT(CZ) LTAUSA18056
Institutional support: RVO:68081731
Keywords : brain * electroencephalography * independent component analysis * medical image processing * medical signal processing
OECD category: Medical engineering
Result website:
https://ieeexplore.ieee.org/document/9175734/DOI: https://doi.org/10.1109/EMBC44109.2020.9175734
Permanent Link: https://hdl.handle.net/11104/0333251 - 6.0556707 - ÚPT 2022 RIV US eng C - Conference Paper (international conference)
Trávníček, Vojtěch - Jurák, Pavel - Cimbálník, J. - Klimeš, Petr - Daniel, P. - Brázdil, M. … Total 7 authors
Ultra-fast oscillation detection in EEG signal from deep-brain microelectrodes.
IEEE Engineering in Medicine and Biology Society Conference Proceedings. In: 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). New York: IEEE, 2021, (2021), s. 265-268. ISBN 978-1-7281-1179-7.
[Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) /43./. online (MX), 01.11.2021-05.11.2021]
R&D Projects: GA MŠMT(CZ) LTAUSA18056
Institutional support: RVO:68081731
Keywords : high-frequency oscillations
OECD category: Medical engineering
Result website:
https://ieeexplore.ieee.org/document/9629481DOI: https://doi.org/10.1109/EMBC46164.2021.9629481
Permanent Link: http://hdl.handle.net/11104/0330853 - 7.0555164 - ÚPT 2022 RIV US eng C - Conference Paper (international conference)
Plešinger, Filip - Ivora, Adam - Halámek, Josef - Viščor, Ivo - Smíšek, Radovan - Bulková, V. - Jurák, Pavel
Evaluating Pauses in Holter ECG Signals.
2021 Computing in Cardiology (CinC). Vol. 48. New York: IEEE, 2021, č. článku 107. ISBN 978-166547916-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2021 /48./. Brno (CZ), 12.09.2021-15.09.2021]
R&D Projects: GA TA ČR(CZ) FW01010305
Institutional support: RVO:68081731
Keywords : Holter ECG * Evaluating Pauses
OECD category: Medical engineering
Result website:
https://ieeexplore.ieee.org/document/9662914DOI: https://doi.org/10.23919/CinC53138.2021.9662914
Permanent Link: http://hdl.handle.net/11104/0329695 - 8.0555163 - ÚPT 2022 RIV US eng C - Conference Paper (international conference)
Nejedlý, Petr - Ivora, Adam - Smíšek, Radovan - Viščor, Ivo - Koščová, Zuzana - Jurák, Pavel - Plešinger, Filip
Classification of ECG Using Ensemble of Residual CNNs with Attention Mechanism.
2021 Computing in Cardiology (CinC). Vol. 48. New York: IEEE, 2021, č. článku 14. ISBN 978-166547916-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2021 /48./. Brno (CZ), 12.09.2021-15.09.2021]
R&D Projects: GA TA ČR(CZ) FW01010305
Institutional support: RVO:68081731
Keywords : Residual CNNs * Classification of ECG * Physionet Challenge
OECD category: Medical engineering
Result website:
https://ieeexplore.ieee.org/document/9662723DOI: https://doi.org/10.23919/CinC53138.2021.9662723
Permanent Link: http://hdl.handle.net/11104/0329694 - 9.0555154 - ÚPT 2022 RIV US eng C - Conference Paper (international conference)
Smíšek, Radovan - Viščor, Ivo - Ivora, Adam - Bulková, V. - Maršánová, L. - Nejedlý, Petr - Koščová, Zuzana - Halámek, Josef - Jurák, Pavel - Plešinger, Filip
Wavelet Transform Based Detection of the First-Degree Atrioventricular Block.
2021 Computing in Cardiology (CinC). Vol. 48. New York: IEEE, 2021, č. článku 168. ISBN 978-166547916-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2021 /48./. Brno (CZ), 12.09.2021-15.09.2021]
R&D Projects: GA TA ČR(CZ) FW01010305
Institutional support: RVO:68081731
Keywords : Wavelet Transform Based Detection * First-Degree Atrioventricular Block
OECD category: Medical engineering
Result website:
https://ieeexplore.ieee.org/document/9662877DOI: https://doi.org/10.23919/CinC53138.2021.9662877
Permanent Link: http://hdl.handle.net/11104/0329687 - 10.0555150 - ÚPT 2022 RIV US eng C - Conference Paper (international conference)
Jurák, Pavel - Leinveber, P. - Plešinger, Filip - Čurila, K. - Viščor, Ivo - Vondra, Vlastimil - Matejková, M. - Znojilová, L. - Smíšek, Radovan - Lipoldová, J. - Prinzen, F. W. - Halámek, Josef
Ultra-High-Frequency Electrocardiography.
2021 Computing in Cardiology (CinC). Vol. 48. New York: IEEE, 2021, č. článku 93. ISBN 978-166547916-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2021 /48./. Brno (CZ), 12.09.2021-15.09.2021]
R&D Projects: GA MZd(CZ) NU21-02-00584; GA TA ČR(CZ) FW03010434
Institutional support: RVO:68081731
Keywords : Ultra High Frequency Electrocardiography * ventricular dyssynchrony * VDI monitor
OECD category: Medical engineering
Result website:
https://ieeexplore.ieee.org/document/9662795DOI: https://doi.org/10.23919/CinC53138.2021.9662795
Permanent Link: http://hdl.handle.net/11104/0329685